Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

John F Carriger

Showing results (11-20 of 26) with videos related to

Pageof 3
Sort By:
Aquatic Toxicology (Amsterdam, Netherlands)|September 19, 2016
A Bayesian network model for predicting aquatic toxicity mode of action using two dimensional theoretical molecular descriptorsJohn F Carriger, Todd M Martin, Mace G Barron
Archives of Environmental Contamination and Toxicology|November 19, 2009
Survival time analysis of least killifish (Heterandria formosa) and mosquitofish (Gambusia affinis) in acute exposures to endosulfan sulfateJohn F Carriger, Tham C Hoang, Gary M Rand
Integrated Environmental Assessment and Management|November 17, 2020
Assessing Coral Reef Condition Indicators for Local and Global Stressors Using Bayesian NetworksJohn F Carriger, Susan H Yee, William S Fisher
Ocean & Coastal Management|July 13, 2019
An introduction to Bayesian networks as assessment and decision support tools for managing coral reef ecosystem servicesJohn F Carriger, Susan H Yee, William S Fisher
Integrated Environmental Assessment and Management|January 16, 2018
Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applicationsJohn F Carriger, Brian E Dyson, William H Benson
Integrated Environmental Assessment and Management|January 16, 2018
Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applicationsJohn F Carriger, Brian E Dyson, William H Benson
Environmental Science & Technology|December 21, 2016
Bayesian Networks Improve Causal Environmental Assessments for Evidence-Based PolicyJohn F Carriger, Mace G Barron, Michael C Newman
Journal of Cleaner Production|July 2, 2020
A Decision Analysis Approach to Electronics Standard Development Informed by Life Cycle Assessment Using Influence DiagramsTherese Garvey, David Meyer, Michael Gonzalez, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 21, 2013
Broader perspective on ecosystem sustainability: consequences for decision makingRoy C Sidle, William H Benson, John F Carriger, et al.
Ecotoxicology (London, England)|March 6, 2010
Endosulfan and its metabolite, endosulfan sulfate, in freshwater ecosystems of South Florida: a probabilistic aquatic ecological risk assessmentGary M Rand, John F Carriger, Piero R Gardinali, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Aquatic Toxicology (Amsterdam, Netherlands)|September 19, 2016
A Bayesian network model for predicting aquatic toxicity mode of action using two dimensional theoretical molecular descriptorsJohn F Carriger, Todd M Martin, Mace G Barron
Archives of Environmental Contamination and Toxicology|November 19, 2009
Survival time analysis of least killifish (Heterandria formosa) and mosquitofish (Gambusia affinis) in acute exposures to endosulfan sulfateJohn F Carriger, Tham C Hoang, Gary M Rand
Integrated Environmental Assessment and Management|November 17, 2020
Assessing Coral Reef Condition Indicators for Local and Global Stressors Using Bayesian NetworksJohn F Carriger, Susan H Yee, William S Fisher
Ocean & Coastal Management|July 13, 2019
An introduction to Bayesian networks as assessment and decision support tools for managing coral reef ecosystem servicesJohn F Carriger, Susan H Yee, William S Fisher
Integrated Environmental Assessment and Management|January 16, 2018
Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applicationsJohn F Carriger, Brian E Dyson, William H Benson
Integrated Environmental Assessment and Management|January 16, 2018
Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applicationsJohn F Carriger, Brian E Dyson, William H Benson
Environmental Science & Technology|December 21, 2016
Bayesian Networks Improve Causal Environmental Assessments for Evidence-Based PolicyJohn F Carriger, Mace G Barron, Michael C Newman
Journal of Cleaner Production|July 2, 2020
A Decision Analysis Approach to Electronics Standard Development Informed by Life Cycle Assessment Using Influence DiagramsTherese Garvey, David Meyer, Michael Gonzalez, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 21, 2013
Broader perspective on ecosystem sustainability: consequences for decision makingRoy C Sidle, William H Benson, John F Carriger, et al.
Ecotoxicology (London, England)|March 6, 2010
Endosulfan and its metabolite, endosulfan sulfate, in freshwater ecosystems of South Florida: a probabilistic aquatic ecological risk assessmentGary M Rand, John F Carriger, Piero R Gardinali, et al.
Pageof 3