Photo of Prof Scott Ferson

Prof Scott Ferson PhD

Chair in Risk and Uncertainty Civil Engineering and Industrial Design

Publications

2020

Is "No test is better than a bad test"? Impact of diagnostic uncertainty in mass testing on the spread of Covid-19 (Journal article)

Gray, N., Calleja, D., Wimbush, A., Miralles-Dolz, E., Gray, A., De Angelis, M., . . . Ferson, S. (2020). Is "No test is better than a bad test"? Impact of diagnostic uncertainty in mass testing on the spread of Covid-19. PLoS One. doi:10.1371/journal.pone.0240775

DOI: 10.1371/journal.pone.0240775

Is "No test is better than a bad test"? Impact of diagnostic uncertainty in mass testing on the spread of Covid-19 (Journal article)

Gray, N., Calleja, D., Wimbush, A., Miralles-Dolz, E., Gray, A., De-Angelis, M., . . . Ferson, S. (n.d.). Is "No test is better than a bad test"? Impact of diagnostic uncertainty in mass testing on the spread of Covid-19. doi:10.1101/2020.04.16.20067884

DOI: 10.1101/2020.04.16.20067884

Optimising cargo loading and ship scheduling in tidal areas (Journal article)

Le Carrer, N., Ferson, S., & Green, P. L. (2020). Optimising cargo loading and ship scheduling in tidal areas. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 280(3), 1082-1094. doi:10.1016/j.ejor.2019.08.002

DOI: 10.1016/j.ejor.2019.08.002

A Problem in the Bayesian Analysis of Data without Gold Standards (Conference Paper)

Gray, N., Angelis, M. D., Calleja, D., & Ferson, S. (2019). A Problem in the Bayesian Analysis of Data without Gold Standards. In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Research Publishing Services. doi:10.3850/978-981-11-2724-3_0458-cd

DOI: 10.3850/978-981-11-2724-3_0458-cd

Prediction And Decision Making From Bad Data (Conference Paper)

Ferson, S. (2019). Prediction And Decision Making From Bad Data. In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Research Publishing Services. doi:10.3850/978-981-11-2724-3_0005-cd

DOI: 10.3850/978-981-11-2724-3_0005-cd

2019

Coverage Probability Fails to Ensure Reliable Inference (Journal article)

Balch, M., Martin, R., & Ferson, S. (2019). Coverage Probability Fails to Ensure Reliable Inference. Proceedings of the Royal Society of London. Mathematical, Physical and Engineering Sciences.

BLACK-BOX PROPAGATION OF FAILURE PROBABILITIES UNDER EPISTEMIC UNCERTAINTY (Conference Paper)

De Angelis, M., Ferson, S., Patelli, E., & Kreinovich, V. (2019). BLACK-BOX PROPAGATION OF FAILURE PROBABILITIES UNDER EPISTEMIC UNCERTAINTY. In Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120219.6373.18699

DOI: 10.7712/120219.6373.18699

COMPUTING WITH UNCERTAINTY: INTRODUCING PUFFIN THE AUTOMATIC UNCERTAINTY COMPILER (Conference Paper)

Gray, N., De Angelis, M., & Ferson, S. (2019). COMPUTING WITH UNCERTAINTY: INTRODUCING PUFFIN THE AUTOMATIC UNCERTAINTY COMPILER. In Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120219.6354.18702

DOI: 10.7712/120219.6354.18702

2018

Comparative, collaborative, and integrative risk governance for emerging technologies (Journal article)

Linkov, I., Trump, B. D., Anklam, E., Berube, D., Boisseasu, P., Cummings, C., . . . Vermeire, T. (2018). Comparative, collaborative, and integrative risk governance for emerging technologies. Environment Systems and Decisions, 38(2), 170-176. doi:10.1007/s10669-018-9686-5

DOI: 10.1007/s10669-018-9686-5

Quantification of Incertitude in Black Box Simulation Codes (Conference Paper)

Calder, A. C., Hoffman, M. M., Willcox, D. E., Katz, M. P., Swesty, F. D., Ferson, S., & IOP. (2018). Quantification of Incertitude in Black Box Simulation Codes. In 12TH INTERNATIONAL CONFERENCE ON NUMERICAL MODELING OF SPACE PLASMA FLOWS: ASTRONUM-2017 Vol. 1031. doi:10.1088/1742-6596/1031/1/012016

DOI: 10.1088/1742-6596/1031/1/012016

2016

Ecological modeling in risk assessment: Chemical effects on populations, ecosystems, and landscapes (Book)

Pastorok, R. A., Bartell, S. M., Ferson, S., & Ginzburg, L. R. (2016). Ecological modeling in risk assessment: Chemical effects on populations, ecosystems, and landscapes.

Population models - scalar abundance (Chapter)

Ferson, S. (2016). Population models - scalar abundance. In Ecological Modeling in Risk Assessment: Chemical Effects on Populations, Ecosystems, and Landscapes (pp. 37-53).

Ecological Risk Assessment for Mink and Short-Tailed Shrew Exposed to PCBs, Dioxins, and Furans in the Housatonic River Area (Journal article)

Moore, D. R. J., Breton, R. L., DeLong, T. R., Ferson, S., Lortie, J. P., MacDonald, D. B., . . . Aslund, M. W. (2016). Ecological Risk Assessment for Mink and Short-Tailed Shrew Exposed to PCBs, Dioxins, and Furans in the Housatonic River Area. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT, 12(1), 174-184. doi:10.1002/ieam.1661

DOI: 10.1002/ieam.1661

2015

Accounting for uncertainty in DNA sequencing data (Journal article)

O Rawe, J., Ferson, S., & Lyon, G. (2015). Accounting for uncertainty in DNA sequencing data. Trends in Genetics, 31(2), 61-66. doi:10.1016/j.tig.2014.12.002

DOI: 10.1016/j.tig.2014.12.002

Natural language of uncertainty: Numeric hedge words (Journal article)

Ferson, S., O Rawe, J., Antonenko, A., Siegrist, J., Mickley, J., C Luhmann, C., . . . Finkel, A. (2015). Natural language of uncertainty: Numeric hedge words. International Journal of Approximate Reasoning, 57, 19-39. doi:10.1016/j.ijar.2014.11.003

DOI: 10.1016/j.ijar.2014.11.003

2014

Computing with Confidence: Imprecise Posteriors and Predictive Distributions (Conference Paper)

Ferson, S., O'Rawe, J., & Balch, M. (2014). Computing with Confidence: Imprecise Posteriors and Predictive Distributions. In Vulnerability, Uncertainty, and Risk (pp. 895-904). American Society of Civil Engineers. doi:10.1061/9780784413609.091

DOI: 10.1061/9780784413609.091

2013

Data Anonymization that Leads to the Most Accurate Estimates of Statistical Characteristics: Fuzzy-Motivated Approach (Conference Paper)

Xiang, G., Ferson, S., Ginzburg, L., Longpre, L., Mayorga, E., & Kosheleva, O. (2013). Data Anonymization that Leads to the Most Accurate Estimates of Statistical Characteristics: Fuzzy-Motivated Approach. In PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS) (pp. 611-616). Retrieved from http://gateway.webofknowledge.com/

The Relationship Between Mindful Parenting and Distress in Parents of Children with an Autism Spectrum Disorder (Journal article)

Beer, M., Ward, L., & Moar, K. (2013). The Relationship Between Mindful Parenting and Distress in Parents of Children with an Autism Spectrum Disorder. MINDFULNESS, 4(2), 102-112. doi:10.1007/s12671-012-0192-4

DOI: 10.1007/s12671-012-0192-4

Imprecise probabilities in engineering analyses (Journal article)

Beer, M., Ferson, S., & Kreinovich, V. (2013). Imprecise probabilities in engineering analyses. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 37(1-2), 4-29. doi:10.1016/j.ymssp.2013.01.024

DOI: 10.1016/j.ymssp.2013.01.024

Special issue of Mechanical Systems and Signal Processing "Imprecise probabilities-What can they add to engineering analyses?" Foreword (Journal article)

Beer, M., & Ferson, S. (2013). Special issue of Mechanical Systems and Signal Processing "Imprecise probabilities-What can they add to engineering analyses?" Foreword. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 37(1-2), 1-3. doi:10.1016/j.ymssp.2013.03.018

DOI: 10.1016/j.ymssp.2013.03.018

Computing with confidence (Conference Paper)

Ferson, S., Balch, M., Sentz, K., & Siegrist, J. (2013). Computing with confidence. In ISIPTA 2013 - Proceedings of the 8th International Symposium on Imprecise Probability: Theories and Applications (pp. 129-138).

2012

Commentary: IUCN classifications under uncertainty (Journal article)

Akcakaya, H. R., Ferson, S., Burgman, M. A., Keith, D. A., Mace, G. M., & Todd, C. R. (2012). Commentary: IUCN classifications under uncertainty. ENVIRONMENTAL MODELLING & SOFTWARE, 38, 119-121. doi:10.1016/j.envsoft.2012.05.009

DOI: 10.1016/j.envsoft.2012.05.009

Uncertainty and Sensitivity Analysis: From Regulatory Requirements to Conceptual Structure and Computational Implementation (Conference Paper)

Helton, J. C., & Sallaberry, C. J. (2012). Uncertainty and Sensitivity Analysis: From Regulatory Requirements to Conceptual Structure and Computational Implementation. In Unknown Conference (pp. 60-77). Springer Berlin Heidelberg. doi:10.1007/978-3-642-32677-6_5

DOI: 10.1007/978-3-642-32677-6_5

Discussion (Conference Paper)

Ferson, S., Helton, J., Kahan, W., Pascual, P., Goldstein, M., & O'Hagan, A. (2012). Discussion. In IFIP Advances in Information and Communication Technology Vol. 377 AICT (pp. 117-122). doi:10.1007/978-3-642-32677-6_7

DOI: 10.1007/978-3-642-32677-6_7

Verified Computation with Probabilities (Conference Paper)

Ferson, S., & Siegrist, J. (2012). Verified Computation with Probabilities. In Unknown Conference (pp. 95-122). Springer Berlin Heidelberg. doi:10.1007/978-3-642-32677-6_7

DOI: 10.1007/978-3-642-32677-6_7

2011

Structural Reliability Assessment with Fuzzy Probabilities (Conference Paper)

Beer, M., Mingqiang, Z., Tong, Q. S., & Ferson, S. (2011). Structural Reliability Assessment with Fuzzy Probabilities. In ISIPTA '11 - PROCEEDINGS OF THE SEVENTH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS (pp. 61-70). Retrieved from http://gateway.webofknowledge.com/

Probabilistic bounding analysis in the Quantification of Margins and Uncertainties (Journal article)

Sentz, K., & Ferson, S. (2011). Probabilistic bounding analysis in the Quantification of Margins and Uncertainties. RELIABILITY ENGINEERING & SYSTEM SAFETY, 96(9), 1126-1136. doi:10.1016/j.ress.2011.02.014

DOI: 10.1016/j.ress.2011.02.014

Fuzzy Probability in Engineering Analyses (Conference Paper)

Beer, M., & Ferson, S. (2011). Fuzzy Probability in Engineering Analyses. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/41170(400)7

DOI: 10.1061/41170(400)7

Statistic Inference under Two Structurally Different Approaches to Interval Data (Conference Paper)

Ferson, S., & Siegrist, J. (2011). Statistic Inference under Two Structurally Different Approaches to Interval Data. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/41170(400)4

DOI: 10.1061/41170(400)4

Statistically Detecting Clustering for Rare Events (Conference Paper)

Siegrist, J., Ferson, S., Goode, J., & Grimson, R. (2011). Statistically Detecting Clustering for Rare Events. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/41170(400)64

DOI: 10.1061/41170(400)64

Uncertainty Arithmetic on Excel Spreadsheets: Add-In for Intervals, Probability Distributions, and Probability Boxes (Conference Paper)

Ferson, S., Mickley, J., & McGill, W. (2011). Uncertainty Arithmetic on Excel Spreadsheets: Add-In for Intervals, Probability Distributions, and Probability Boxes. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/41170(400)9

DOI: 10.1061/41170(400)9

Probability Bounds Analysis for Nonlinear Dynamic Process Models (Journal article)

Enszer, J. A., Lin, Y., Ferson, S., Corliss, G. F., & Stadtherr, M. A. (2011). Probability Bounds Analysis for Nonlinear Dynamic Process Models. AICHE JOURNAL, 57(2), 404-422. doi:10.1002/aic.12278

DOI: 10.1002/aic.12278

2009

Trade-off between sample size and accuracy: Case of measurements under interval uncertainty (Journal article)

Nguyen, H. T., Kosheleva, O., Kreinovich, V., & Ferson, S. (2009). Trade-off between sample size and accuracy: Case of measurements under interval uncertainty. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 50(8), 1164-1176. doi:10.1016/j.ijar.2009.06.013

DOI: 10.1016/j.ijar.2009.06.013

Validation of imprecise probability models (Journal article)

Ferson, S., & Oberkampf, W. L. (2009). Validation of imprecise probability models. International Journal of Reliability and Safety, 3(1/2/3), 3. doi:10.1504/ijrs.2009.026832

DOI: 10.1504/ijrs.2009.026832

2008

Trade-off between sample size and accuracy: Case of dynamic measurements under interval uncertainty (Conference Paper)

Nguyen, H. T., Kosheleva, O., Kreinovich, V., & Ferson, S. (2008). Trade-off between sample size and accuracy: Case of dynamic measurements under interval uncertainty. In INTERVAL / PROBABILISTIC UNCERTAINTY AND NON-CLASSICAL LOGICS Vol. 46 (pp. 45-+). Retrieved from http://gateway.webofknowledge.com/

How to measure a degree of mismatch between probability models, p-boxes, etc.: A decision-theory-motivated utility-based approach (Conference Paper)

Longpre, L., Ferson, S., Tucker, W. T., & IEEE. (2008). How to measure a degree of mismatch between probability models, p-boxes, etc.: A decision-theory-motivated utility-based approach. In 2008 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1 AND 2 (pp. 540-545). Retrieved from http://gateway.webofknowledge.com/

Probability boxes as info-gap models (Conference Paper)

Ferson, S., Tucker, W. T., & IEEE. (2008). Probability boxes as info-gap models. In 2008 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1 AND 2 (pp. 625-630). Retrieved from http://gateway.webofknowledge.com/

Model validation and predictive capability for the thermal challenge problem (Conference Paper)

Ferson, S., Oberkampf, W. L., & Ginzburg, L. (2008). Model validation and predictive capability for the thermal challenge problem. In COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Vol. 197 (pp. 2408-2430). doi:10.1016/j.cma.2007.07.030

DOI: 10.1016/j.cma.2007.07.030

A frequency/consequence-based technique for visualizing and communicating uncertainty and perception of risk (Conference Paper)

Siavin, D., Tucker, W. T., Ferson, S., & Slavin, D. (2008). A frequency/consequence-based technique for visualizing and communicating uncertainty and perception of risk. In STRATEGIES FOR RISK COMMUNICATION: EVOLUTION, EVIDENCE, EXPERIENCE Vol. 1128 (pp. 63-77). doi:10.1196/annals.1399.008

DOI: 10.1196/annals.1399.008

Evolved altruism, strong reciprocity, and perception of risk (Conference Paper)

Tucker, W. T., Ferson, S., & Slavin, D. (2008). Evolved altruism, strong reciprocity, and perception of risk. In STRATEGIES FOR RISK COMMUNICATION: EVOLUTION, EVIDENCE, EXPERIENCE Vol. 1128 (pp. 111-120). doi:10.1196/annals.1399.012

DOI: 10.1196/annals.1399.012

Strategies for risk communication - Evolution, evidence, experience (Conference Paper)

Tucker, W. T., Ferson, S., & Slavin, D. (2008). Strategies for risk communication - Evolution, evidence, experience. In STRATEGIES FOR RISK COMMUNICATION: EVOLUTION, EVIDENCE, EXPERIENCE Vol. 1128 (pp. IX-XII). doi:10.1196/annals.1399.000

DOI: 10.1196/annals.1399.000

Trade-off between sample size and accuracy: Case of static measurements under interval uncertainty (Conference Paper)

Nguyen, H. T., & Kreinovich, V. (2008). Trade-off between sample size and accuracy: Case of static measurements under interval uncertainty. In INTERVAL / PROBABILISTIC UNCERTAINTY AND NON-CLASSICAL LOGICS Vol. 46 (pp. 32-+). Retrieved from http://gateway.webofknowledge.com/

2007

Fitting a normal distribution to interval and fuzzy data (Conference Paper)

Xiang, G., Kreinovich, V., & Ferson, S. (2007). Fitting a normal distribution to interval and fuzzy data. In NAFIPS 2007 - 2007 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY (pp. 560-+). doi:10.1109/NAFIPS.2007.383901

DOI: 10.1109/NAFIPS.2007.383901

Interval versions of statistical techniques with applications to environmental analysis, bioinformatics, and privacy in statistical databases (Conference Paper)

Kreinovich, V., Longpre, L., Starks, S. A., Xiang, G., Beck, J., Kandathi, R., . . . Hajagos, J. (2007). Interval versions of statistical techniques with applications to environmental analysis, bioinformatics, and privacy in statistical databases. In JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS Vol. 199 (pp. 418-423). doi:10.1016/j.cam.2005.07.041

DOI: 10.1016/j.cam.2005.07.041

2006

Sensitivity analysis using probability bounding (Journal article)

Ferson, S., & Tucker, W. T. (2006). Sensitivity analysis using probability bounding. RELIABILITY ENGINEERING & SYSTEM SAFETY, 91(10-11), 1435-1442. doi:10.1016/j.ress.2005.11.052

DOI: 10.1016/j.ress.2005.11.052

Varying correlation coefficients can underestimate uncertainty in probabilistic models (Conference Paper)

Ferson, S., & Hajagos, J. G. (2006). Varying correlation coefficients can underestimate uncertainty in probabilistic models. In RELIABILITY ENGINEERING & SYSTEM SAFETY Vol. 91 (pp. 1461-1467). doi:10.1016/j.ress.2005.11.043

DOI: 10.1016/j.ress.2005.11.043

Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms (Journal article)

Kreinovich, V., Xiang, G., & Ferson, S. (2006). Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 42(3), 212-227. doi:10.1016/j.ijar.2005.12.001

DOI: 10.1016/j.ijar.2005.12.001

Computing best-possible bounds for the distribution of a sum of several variables is NP-hard (Journal article)

Kreinovich, V., & Ferson, S. (2006). Computing best-possible bounds for the distribution of a sum of several variables is NP-hard. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 41(3), 331-342. doi:10.1016/j.ijar.2005.06.009

DOI: 10.1016/j.ijar.2005.06.009

Adding Constraints to Situations When, In Addition to Intervals,We Also Have Partial Information about Probabilities (Conference Paper)

Ceberio, M., Kreinovich, V., Xiang, G., Ferson, S., & Joslyn, C. (2006). Adding Constraints to Situations When, In Addition to Intervals,We Also Have Partial Information about Probabilities. In 12th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2006). IEEE. doi:10.1109/scan.2006.7

DOI: 10.1109/scan.2006.7

2005

How the concept of information as average number of "yes"-"no" questions (bits) can be extended to intervals, p-boxes, and more general uncertainty (Conference Paper)

Kreinovich, V., Xiang, G., Ferson, S., & IEEE. (2005). How the concept of information as average number of "yes"-"no" questions (bits) can be extended to intervals, p-boxes, and more general uncertainty. In NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society (pp. 80-85). doi:10.1109/NAFIPS.2005.1548512

DOI: 10.1109/NAFIPS.2005.1548512

Case study part 1: How to calculate appropriate deterministic long-term toxicity to exposure ratios (TERs) for birds and mammals (Journal article)

Shore, R. F., Crocker, D. R., Akcakaya, H. R., Bennett, R. S., Chapman, P. F., Clook, M., . . . Topping, C. (2005). Case study part 1: How to calculate appropriate deterministic long-term toxicity to exposure ratios (TERs) for birds and mammals. ECOTOXICOLOGY, 14(8), 877-893. doi:10.1007/s10646-005-0034-4

DOI: 10.1007/s10646-005-0034-4

Case study part 2: Probabitistic modelling of long-term effects of pesticides on individual breeding success in birds and mammals (Journal article)

Roelofs, W., Crocker, D. R., Shore, R. F., Moore, D. R. J., Smith, G. C., Akcakaya, H. R., . . . Topping, C. (2005). Case study part 2: Probabitistic modelling of long-term effects of pesticides on individual breeding success in birds and mammals. ECOTOXICOLOGY, 14(8), 895-923. doi:10.1007/s10646-005-0035-3

DOI: 10.1007/s10646-005-0035-3

Exact Bounds on Finite Populations of Interval Data (Journal article)

Ferson, S., Ginzburg, L., Kreinovich, V., Longpré, L., & Aviles, M. (2005). Exact Bounds on Finite Populations of Interval Data. Reliable Computing, 11(3), 207-233. doi:10.1007/s11155-005-3616-1

DOI: 10.1007/s11155-005-3616-1

Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity (Journal article)

Kreinovich, V., Longpr?, L., Patangay, P., Ferson, S., & Ginzburg, L. (2005). Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity. Reliable Computing, 11(1), 59-76. doi:10.1007/s11155-005-5943-7

DOI: 10.1007/s11155-005-5943-7

2004

A feasible algorithm for locating concave and convex zones of interval data and its use in statistics-based clustering (Journal article)

Kreinovich, V., Pauwels, E. J., Ferson, S. A., & Ginzburg, L. (2004). A feasible algorithm for locating concave and convex zones of interval data and its use in statistics-based clustering. NUMERICAL ALGORITHMS, 37(1-4), 225-232. doi:10.1023/B:NUMA.0000049469.02043.24

DOI: 10.1023/B:NUMA.0000049469.02043.24

A new Cauchy-based black-box technique for uncertainty in risk analysis (Journal article)

Kreinovich, V., & Ferson, S. A. (2004). A new Cauchy-based black-box technique for uncertainty in risk analysis. RELIABILITY ENGINEERING & SYSTEM SAFETY, 85(1-3), 267-279. doi:10.1016/j.ress.2004.03.016

DOI: 10.1016/j.ress.2004.03.016

Arithmetic with uncertain numbers: rigorous and (often) best possible answers (Journal article)

Ferson, S., & Hajagos, J. G. (2004). Arithmetic with uncertain numbers: rigorous and (often) best possible answers. RELIABILITY ENGINEERING & SYSTEM SAFETY, 85(1-3), 135-152. doi:10.1016/j.ress.2004.03.008

DOI: 10.1016/j.ress.2004.03.008

Challenge problems: uncertainty in system response given uncertain parameters (Journal article)

Oberkampf, W. L., Helton, J. C., Joslyn, C. A., Wojtkiewicz, S. F., & Ferson, S. (2004). Challenge problems: uncertainty in system response given uncertain parameters. RELIABILITY ENGINEERING & SYSTEM SAFETY, 85(1-3), 11-19. doi:10.1016/j.ress.2004.03.002

DOI: 10.1016/j.ress.2004.03.002

Summary from the epistemic uncertainty workshop: consensus amid diversity (Journal article)

Ferson, S., Joslyn, C. A., Helton, J. C., Oberkampf, W. L., & Sentz, K. (2004). Summary from the epistemic uncertainty workshop: consensus amid diversity. RELIABILITY ENGINEERING & SYSTEM SAFETY, 85(1-3), 355-369. doi:10.1016/j.ress.2004.03.023

DOI: 10.1016/j.ress.2004.03.023

Equivalence of methods for uncertainty propagation of real-valued random variables (Journal article)

Regan, H. M., Ferson, S., & Berleant, D. (2004). Equivalence of methods for uncertainty propagation of real-valued random variables. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 36(1), 1-30. doi:10.1016/j.ijar.2003.07.013

DOI: 10.1016/j.ijar.2003.07.013

Probabilities, intervals, what next? extension of interval computations to situations with partial information about probabilities (Conference Paper)

Krenovich, V., Solopchenko, G. N., Ferson, S. A., Ginzburg, L., & Aló, R. (2004). Probabilities, intervals, what next? extension of interval computations to situations with partial information about probabilities. In 10th IMEKO TC7 Symposium on Advances of Measurement Science 2004 (pp. 130-135).

2003

(Journal article)

Berleant, D., Cheong, M. -P., Chu, C., Guan, Y., Kamal, A., Shedblé, G., . . . Peters, J. F. (2003). Unknown Title. Reliable Computing, 9(6), 407-418. doi:10.1023/a:1025888503247

DOI: 10.1023/a:1025888503247

(Journal article)

Kreinovich, V., Ferson, S., & Ginzburg, L. (2003). Unknown Title. Reliable Computing, 9(6), 441-463. doi:10.1023/a:1025841220835

DOI: 10.1023/a:1025841220835

Reliability of risk analyses for contaminated groundwater (Conference Paper)

Ferson, S., & Tucker, W. T. (2003). Reliability of risk analyses for contaminated groundwater. In GROUNDWATER QUALITY MODELING AND MANAGEMENT UNDER UNCERTAINTY (pp. 226-235). Retrieved from http://gateway.webofknowledge.com/

Setting cleanup targets in a probabilistic assessment (Conference Paper)

Tucker, W. T., Myers, D. S., & Ferson, S. (2003). Setting cleanup targets in a probabilistic assessment. In GROUNDWATER QUALITY MODELING AND MANAGEMENT UNDER UNCERTAINTY (pp. 23-33). Retrieved from http://gateway.webofknowledge.com/

Detecting and explaining rare event-clusters in sparse data sets: Some initial results (Journal article)

Ricci, P. F., & Ferson, S. (2003). Detecting and explaining rare event-clusters in sparse data sets: Some initial results. Technology: Journal of the Franklin Institute, 9(1-2), 85-94.

Outlier detection under interval and fuzzy uncertainty: Algorithmic solvability and computational complexity (Conference Paper)

Kreinovich, V., Patangay, P., Longpre, L., Starks, S. A., Campos, C., Ferson, S., & Ginzburg, L. (2003). Outlier detection under interval and fuzzy uncertainty: Algorithmic solvability and computational complexity. In NAFIPS'2003: 22ND INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS PROCEEDINGS (pp. 401-406). Retrieved from http://gateway.webofknowledge.com/

Outlier detection under interval uncertainty: Algorithmic solvability and computational complexity (Conference Paper)

Kreinovich, V., Longpre, L., Patangay, P., Ferson, S., & Ginzburg, L. (2003). Outlier detection under interval uncertainty: Algorithmic solvability and computational complexity. In LARGE-SCALE SCIENTIFIC COMPUTING Vol. 2907 (pp. 238-245). Retrieved from http://gateway.webofknowledge.com/

Realism and relevance of ecological models used in chemical risk assessment (Journal article)

Bartell, S. M., Pastorok, R. A., Akcakaya, H. R., Regan, H., Ferson, S., & Mackay, C. (2003). Realism and relevance of ecological models used in chemical risk assessment. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 9(4), 907-938. doi:10.1080/713610016

DOI: 10.1080/713610016

Role of ecological modeling in risk assessment (Journal article)

Pastorok, R. A., Akcakaya, H. R., Regan, H., Ferson, S., & Bartell, S. M. (2003). Role of ecological modeling in risk assessment. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 9(4), 939-972. doi:10.1080/713610017

DOI: 10.1080/713610017

Treatments of uncertainty and variability in ecological risk assessment of single-species populations (Journal article)

Regan, H. M., Akcakaya, H. R., Ferson, S., Root, K. V., Carroll, S., & Ginzburg, L. R. (2003). Treatments of uncertainty and variability in ecological risk assessment of single-species populations. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 9(4), 889-906. doi:10.1080/713610015

DOI: 10.1080/713610015

2002

Uncertainty in risk analysis: Towards a general second-order approach combining interval, probabilistic, and fuzzy techniques (Conference Paper)

Ferson, S., Ginzburg, L., Kreinovich, V., Nguyen, H. T., Starks, S. A., IEEE., & IEEE. (2002). Uncertainty in risk analysis: Towards a general second-order approach combining interval, probabilistic, and fuzzy techniques. In PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2 (pp. 1342-1347). Retrieved from http://gateway.webofknowledge.com/

Analysis and portrayal of uncertainty in a food-web exposure model (Journal article)

Regan, H. M., Hope, B. Y., & Ferson, S. (2002). Analysis and portrayal of uncertainty in a food-web exposure model. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 8(7), 1757-1777. doi:10.1080/20028091057592

DOI: 10.1080/20028091057592

Computing variance for interval data is NP-hard (Journal article)

Ferson, S., Ginzburg, L., Kreinovich, V., Longpré, L., & Aviles, M. (2002). Computing variance for interval data is NP-hard. ACM SIGACT News, 33(2), 108-118. doi:10.1145/564585.564604

DOI: 10.1145/564585.564604

Comparison of deterministic and probabilistic calculation of ecological soil screening levels (Journal article)

Regan, H. M., Sample, B. E., & Ferson, S. (2002). Comparison of deterministic and probabilistic calculation of ecological soil screening levels. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 21(4), 882-890. doi:2.0.CO;2">10.1897/1551-5028(2002)021<0882:CODAPC>2.0.CO;2

DOI: 10.1897/1551-5028(2002)021<0882:CODAPC>2.0.CO;2

Combination rules in Dempster-Shafer theory (Conference Paper)

Sentz, K., & Ferson, S. (2002). Combination rules in Dempster-Shafer theory. In 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XVI, PROCEEDINGS (pp. 191-196). Retrieved from http://gateway.webofknowledge.com/

Epistemic Uncertainty Workshop. (Journal article)

Oberkampf, W., Helton, J. C., Wojtkiewicz, S. F., Joslyn, C. A., & Ferson, S. (2002). Epistemic Uncertainty Workshop.. Reliab. Comput., 8, 503-505.

From computation with guaranteed intervals to computation with confidence intervals: A new application of fuzzy techniques (Conference Paper)

Kreinovich, V., Nguyen, H. T., Ferson, S., & Ginzburg, L. (2002). From computation with guaranteed intervals to computation with confidence intervals: A new application of fuzzy techniques. In 2002 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY PROCEEDINGS (pp. 418-423). doi:10.1109/NAFIPS.2002.1018096

DOI: 10.1109/NAFIPS.2002.1018096

Probability bounds with uncertain input distributions and correlations (Conference Paper)

Ferson, S., & Tucker, W. T. (2002). Probability bounds with uncertain input distributions and correlations. In 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XVI, PROCEEDINGS (pp. 186-190). Retrieved from http://gateway.webofknowledge.com/

2001

Checking for errors in calculations and software: Dimensional balance and conformance of units (Journal article)

Ferson, S. (2001). Checking for errors in calculations and software: Dimensional balance and conformance of units. Accountability in Research, 8(3), 261-279. doi:10.1080/08989620108573978

DOI: 10.1080/08989620108573978

Is it a crime to belong to a reference class? (Journal article)

Colyvan, M., Regan, H. M., & Ferson, S. (2001). Is it a crime to belong to a reference class?. JOURNAL OF POLITICAL PHILOSOPHY, 9(2), 168-181. doi:10.1111/1467-9760.00123

DOI: 10.1111/1467-9760.00123

Setting reliability bounds on habitat suitability indices (Journal article)

Burgman, M. A., Breininger, D. R., Duncan, B. W., & Ferson, S. (2001). Setting reliability bounds on habitat suitability indices. ECOLOGICAL APPLICATIONS, 11(1), 70-78. doi:10.1890/1051-0761(2001)011[0070:SRBOHS]2.0.CO;2

DOI: 10.1890/1051-0761(2001)011[0070:SRBOHS]2.0.CO;2

Temporal variability and ignorance in Monte Carlo contaminant bioaccumulation models: A case study with selenium in Mytilus edulis (Journal article)

Spencer, M., Fisher, N. S., Wang, W. X., & Ferson, S. (2001). Temporal variability and ignorance in Monte Carlo contaminant bioaccumulation models: A case study with selenium in Mytilus edulis. RISK ANALYSIS, 21(2), 383-394. doi:10.1111/0272-4332.212119

DOI: 10.1111/0272-4332.212119

2000

Probability Bounds Analysis Solves the Problem of Incomplete Specification in Probabilistic Risk and Safety Assessments (Conference Paper)

Ferson, S. (2001). Probability Bounds Analysis Solves the Problem of Incomplete Specification in Probabilistic Risk and Safety Assessments. In Risk-Based Decisionmaking in Water Resources IX. American Society of Civil Engineers. doi:10.1061/40577(306)16

DOI: 10.1061/40577(306)16

Predicting recovery of a fish population after heavy metal impacts (Journal article)

Crutchfield, J., & Ferson, S. (2000). Predicting recovery of a fish population after heavy metal impacts. Environmental Science & Policy, 3, 183-189. doi:10.1016/s1462-9011(00)00049-6

DOI: 10.1016/s1462-9011(00)00049-6

Making consistent IUCN classifications under uncertainty (Journal article)

Akcakaya, H. R., Ferson, S., Burgman, M. A., Keith, D. A., Mace, G. M., & Todd, C. R. (2000). Making consistent IUCN classifications under uncertainty. CONSERVATION BIOLOGY, 14(4), 1001-1013. doi:10.1046/j.1523-1739.2000.99125.x

DOI: 10.1046/j.1523-1739.2000.99125.x

Issues related to the detection of boundaries (Journal article)

Fortin, M. J., Olson, R. J., Ferson, S., Iverson, L., Hunsaker, C., Edwards, G., . . . Klemas, V. (2000). Issues related to the detection of boundaries. LANDSCAPE ECOLOGY, 15(5), 453-466. doi:10.1023/A:1008194205292

DOI: 10.1023/A:1008194205292

1999

When and how can you specify a probability distribution when you don't know much? II - Foundations (Conference Paper)

Anderson, E. L., Hattis, D., Matalas, N., Bier, V., Kaplan, S., Burmaster, D., . . . Ferson, S. (1999). When and how can you specify a probability distribution when you don't know much? II - Foundations. In RISK ANALYSIS Vol. 19 (pp. 47-68). doi:10.1023/A:1006954210333

DOI: 10.1023/A:1006954210333

New mathematical derivations applicable to safety and reliability analysis (Conference Paper)

Cooper, J. A., & Ferson, S. (1999). New mathematical derivations applicable to safety and reliability analysis. In SAFETY AND RELIABILITY, VOLS 1 & 2 (pp. 975-980). Retrieved from http://gateway.webofknowledge.com/

Using fuzzy intervals to represent measurement error and scientific uncertainty in endangered species classification (Conference Paper)

Ferson, S., Akcakaya, H. R., & Dunham, A. (1999). Using fuzzy intervals to represent measurement error and scientific uncertainty in endangered species classification. In 18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS (pp. 690-694). doi:10.1109/NAFIPS.1999.781782

DOI: 10.1109/NAFIPS.1999.781782

1998

Deconvolution can reduce uncertainty in risk assessment (Conference Paper)

Ferson, S., & Long, T. F. (1998). Deconvolution can reduce uncertainty in risk assessment. In RISK ASSESSMENT: LOGIC AND MEASUREMENT (pp. 325-336). Retrieved from http://gateway.webofknowledge.com/

Detecting rare event clustering in very sparse data sets (Conference Paper)

Hwang, K., & Ferson, S. (1998). Detecting rare event clustering in very sparse data sets. In PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT (PSAM 4), VOLS 1-4 (pp. 1235-1240). Retrieved from http://gateway.webofknowledge.com/

Fuzzy regression in fisheries science: Some methods and applications (Conference Paper)

Saila, S. B., & Ferson, S. (1998). Fuzzy regression in fisheries science: Some methods and applications. In FISHERY STOCK ASSESSMENT MODELS Vol. 15 (pp. 339-354). Retrieved from http://gateway.webofknowledge.com/

Probability bounds analysis (Conference Paper)

Ferson, S., & Donald, S. (1998). Probability bounds analysis. In PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT (PSAM 4), VOLS 1-4 (pp. 1203-1208). Retrieved from http://gateway.webofknowledge.com/

1996

Hybrid processing of stochastic and subjective uncertainty data (Journal article)

Cooper, J. A., Ferson, S., & Ginzburg, L. (1996). Hybrid processing of stochastic and subjective uncertainty data. RISK ANALYSIS, 16(6), 785-791. doi:10.1111/j.1539-6924.1996.tb00829.x

DOI: 10.1111/j.1539-6924.1996.tb00829.x

Different methods are needed to propagate ignorance and variability (Journal article)

Ferson, S., & Ginzburg, L. R. (1996). Different methods are needed to propagate ignorance and variability. RELIABILITY ENGINEERING & SYSTEM SAFETY, 54(2-3), 133-144. doi:10.1016/S0951-8320(96)00071-3

DOI: 10.1016/S0951-8320(96)00071-3

Inferring ecological risk from toxicity bioassays (Conference Paper)

Ferson, S., Ginzburg, L. R., & Goldstein, R. A. (1996). Inferring ecological risk from toxicity bioassays. In WATER AIR AND SOIL POLLUTION Vol. 90 (pp. 71-82). doi:10.1007/BF00619269

DOI: 10.1007/BF00619269

Judgment under uncertainty: Evolution may not favor a probabilistic calculus (Journal article)

Ginzburg, L. R., Janson, C., & Ferson, S. (1996). Judgment under uncertainty: Evolution may not favor a probabilistic calculus. BEHAVIORAL AND BRAIN SCIENCES, 19(1), 24-+. doi:10.1017/S0140525X0004125X

DOI: 10.1017/S0140525X0004125X

Automated quality assurance checks on model structure in ecological risk assessments (Journal article)

Ferson, S. (1996). Automated quality assurance checks on model structure in ecological risk assessments. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2(3), 558-569. doi:10.1080/10807039609383632

DOI: 10.1080/10807039609383632

Logistic sensitivity and bounds for extinction risks (Conference Paper)

McCarthy, M. A., Burgman, M. A., & Ferson, S. (1996). Logistic sensitivity and bounds for extinction risks. In ECOLOGICAL MODELLING Vol. 86 (pp. 297-303). doi:10.1016/0304-3800(95)00067-4

DOI: 10.1016/0304-3800(95)00067-4

What Monte Carlo methods cannot do (Journal article)

Ferson, S. (1996). What Monte Carlo methods cannot do. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2(4), 990-1007. doi:10.1080/10807039609383659

DOI: 10.1080/10807039609383659

1995

Hybrid arithmetic (Conference Paper)

Ferson, S., & Ginzburg, L. (1995). Hybrid arithmetic. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (pp. 619-623).

Quality assurance for Monte Carlo risk assessment (Conference Paper)

Ferson, S. (1995). Quality assurance for Monte Carlo risk assessment. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (pp. 14-19).

CONSERVATIVE UNCERTAINTY PROPAGATION IN ENVIRONMENTAL RISK ASSESSMENTS (Conference Paper)

FERSON, S., & LONG, T. F. (1995). CONSERVATIVE UNCERTAINTY PROPAGATION IN ENVIRONMENTAL RISK ASSESSMENTS. In ENVIRONMENTAL TOXICOLOGY AND RISK ASSESSMENT: THIRD VOLUME Vol. 1218 (pp. 97-110). doi:10.1520/STP12686S

DOI: 10.1520/STP12686S

CORRELATIONS, DEPENDENCY BOUNDS AND EXTINCTION RISKS (Journal article)

FERSON, S., & BURGMAN, M. A. (1995). CORRELATIONS, DEPENDENCY BOUNDS AND EXTINCTION RISKS. BIOLOGICAL CONSERVATION, 73(2), 101-105. doi:10.1016/0006-3207(95)00047-8

DOI: 10.1016/0006-3207(95)00047-8

INFERRING THREAT FROM SCIENTIFIC COLLECTIONS (Journal article)

BURGMAN, M. A., GRIMSON, R. C., & FERSON, S. (1995). INFERRING THREAT FROM SCIENTIFIC COLLECTIONS. CONSERVATION BIOLOGY, 9(4), 923-928. doi:10.1046/j.1523-1739.1995.09040923.x

DOI: 10.1046/j.1523-1739.1995.09040923.x

SENSITIVITY ANALYSIS FOR MODELS OF POPULATION VIABILITY (Journal article)

MCCARTHY, M. A., BURGMAN, M. A., & FERSON, S. (1995). SENSITIVITY ANALYSIS FOR MODELS OF POPULATION VIABILITY. BIOLOGICAL CONSERVATION, 73(2), 93-100. doi:10.1016/0006-3207(95)90029-2

DOI: 10.1016/0006-3207(95)90029-2

The effect of the initial age-class distribution on extinction risks: Implications for the reintroduction of Leadbeater's Possum (Conference Paper)

BURGICIAN, M., FERSON, S., & LINDENMAYER, D. (1995). The effect of the initial age-class distribution on extinction risks: Implications for the reintroduction of Leadbeater's Possum. In REINTRODUCTION BIOLOGY OF AUSTRALIAN AND NEW ZEALAND FAUNA (pp. 15-20). Retrieved from http://gateway.webofknowledge.com/

1994

RESPONSE OF PLANTS TO INTERACTING STRESSES (ROPIS) - PROGRAM RATIONALE, DESIGN, AND IMPLICATIONS (Journal article)

GOLDSTEIN, R., & FERSON, S. (1994). RESPONSE OF PLANTS TO INTERACTING STRESSES (ROPIS) - PROGRAM RATIONALE, DESIGN, AND IMPLICATIONS. JOURNAL OF ENVIRONMENTAL QUALITY, 23(3), 407-411. doi:10.2134/jeq1994.00472425002300030002x

DOI: 10.2134/jeq1994.00472425002300030002x

1992

ASSESSING THE EFFECT OF COMPENSATION ON THE RISK OF POPULATION DECLINE AND EXTINCTION (Conference Paper)

GINZBURG, L. R., & FERSON, S. (1992). ASSESSING THE EFFECT OF COMPENSATION ON THE RISK OF POPULATION DECLINE AND EXTINCTION. In ESTUARINE RESEARCH IN THE 1980S (pp. 392-403). Retrieved from http://gateway.webofknowledge.com/

INTEGRATION OF ENVIRONMENTAL-MODELS IN A GEOGRAPHICAL SPREADSHEET (Conference Paper)

DOWNER, R., KURTZ, C., & FERSON, S. (1992). INTEGRATION OF ENVIRONMENTAL-MODELS IN A GEOGRAPHICAL SPREADSHEET. In COMPUTER TECHNIQUES IN ENVIRONMENTAL STUDIES IV (pp. 797-804). Retrieved from http://gateway.webofknowledge.com/

PROPAGATING UNCERTAINTY IN ECOLOGICAL RISK ANALYSIS USING INTERVAL AND FUZZY ARITHMETIC (Conference Paper)

FERSON, S., & KUHN, R. (1992). PROPAGATING UNCERTAINTY IN ECOLOGICAL RISK ANALYSIS USING INTERVAL AND FUZZY ARITHMETIC. In COMPUTER TECHNIQUES IN ENVIRONMENTAL STUDIES IV (pp. 387-401). Retrieved from http://gateway.webofknowledge.com/

QUANTITATIVE SOFTWARE TOOLS FOR CONSERVATION BIOLOGY (Conference Paper)

FERSON, S., & AKCAKAYA, H. R. (1992). QUANTITATIVE SOFTWARE TOOLS FOR CONSERVATION BIOLOGY. In COMPUTER TECHNIQUES IN ENVIRONMENTAL STUDIES IV (pp. 371-386). Retrieved from http://gateway.webofknowledge.com/

USING FUZZY ARITHMETIC IN MONTE-CARLO SIMULATION OF FISHERY POPULATIONS (Conference Paper)

FERSON, S. (1992). USING FUZZY ARITHMETIC IN MONTE-CARLO SIMULATION OF FISHERY POPULATIONS. In MANAGEMENT STRATEGIES FOR EXPLOITED FISH POPULATIONS Vol. 10 (pp. 595-608). Retrieved from http://gateway.webofknowledge.com/

1990

RECONSTRUCTIBILITY OF DENSITY DEPENDENCE AND THE CONSERVATIVE ASSESSMENT OF EXTINCTION RISKS (Journal article)

GINZBURG, L. R., FERSON, S., & AKCAKAYA, H. R. (1990). RECONSTRUCTIBILITY OF DENSITY DEPENDENCE AND THE CONSERVATIVE ASSESSMENT OF EXTINCTION RISKS. CONSERVATION BIOLOGY, 4(1), 63-70. doi:10.1111/j.1523-1739.1990.tb00268.x

DOI: 10.1111/j.1523-1739.1990.tb00268.x

THE DANGERS OF BEING FEW - DEMOGRAPHIC RISK ANALYSIS FOR RARE SPECIES EXTINCTION (Conference Paper)

FERSON, S., & BURGMAN, M. A. (1990). THE DANGERS OF BEING FEW - DEMOGRAPHIC RISK ANALYSIS FOR RARE SPECIES EXTINCTION. In ECOSYSTEM MANAGEMENT : RARE SPECIES AND SIGNIFICANT HABITS Vol. 471 (pp. 129-132). Retrieved from http://gateway.webofknowledge.com/

1989

EXTREME EVENT RISK ANALYSIS FOR AGE-STRUCTURED POPULATIONS (Journal article)

FERSON, S., GINZBURG, L., & SILVERS, A. (1989). EXTREME EVENT RISK ANALYSIS FOR AGE-STRUCTURED POPULATIONS. ECOLOGICAL MODELLING, 47(1-2), 175-187. doi:10.1016/0304-3800(89)90116-6

DOI: 10.1016/0304-3800(89)90116-6

1987

PUTTING THINGS IN ORDER - A CRITIQUE OF DETRENDED CORRESPONDENCE-ANALYSIS (Journal article)

WARTENBERG, D., FERSON, S., & ROHLF, F. J. (1987). PUTTING THINGS IN ORDER - A CRITIQUE OF DETRENDED CORRESPONDENCE-ANALYSIS. AMERICAN NATURALIST, 129(3), 434-448. doi:10.1086/284647

DOI: 10.1086/284647

1986

COMPETING REVIEWS, OR WHY DO CONNELL AND SCHOENER DISAGREE (Journal article)

FERSON, S., DOWNEY, P., KLERKS, P., WEISSBURG, M., KROOT, I., STEWART, S., . . . ANDERSON, K. (1986). COMPETING REVIEWS, OR WHY DO CONNELL AND SCHOENER DISAGREE. AMERICAN NATURALIST, 127(4), 571-576. doi:10.1086/284505

DOI: 10.1086/284505

DO SYMBIOTIC PEA CRABS DECREASE GROWTH-RATE IN MUSSELS (Journal article)

BIERBAUM, R. M., & FERSON, S. (1986). DO SYMBIOTIC PEA CRABS DECREASE GROWTH-RATE IN MUSSELS. BIOLOGICAL BULLETIN, 170(1), 51-61. doi:10.2307/1541380

DOI: 10.2307/1541380

1985

MEASURING SHAPE VARIATION OF TWO-DIMENSIONAL OUTLINES (Journal article)

FERSON, S., ROHLF, F. J., & KOEHN, R. K. (1985). MEASURING SHAPE VARIATION OF TWO-DIMENSIONAL OUTLINES. SYSTEMATIC ZOOLOGY, 34(1), 59-68. doi:10.2307/2413345

DOI: 10.2307/2413345