William Link, Ph.D. (Former Employee)
Science and Products
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Filter Total Items: 128
Combining waterfowl and breeding bird survey data to estimate wood duck breeding population size in the Atlantic Flyway Combining waterfowl and breeding bird survey data to estimate wood duck breeding population size in the Atlantic Flyway
We combined data from the Atlantic Flyway Breeding Waterfowl Survey (AFBWS) and the North American Breeding Bird Survey (BBS) to estimate the number of wood ducks (Aix sponsa) in the United States portion of the Atlantic Flyway from 1993 to 2013. The AFBWS is a plot-based survey that covers most of the northern and central portions of the Flyway; when analyzed with adjustments for survey...
Authors
Guthrie S. Zimmerman, John R. Sauer, Kathy Fleming, William A. Link, Pamela R. Garrettson
Truth, models, model sets, AIC, and multimodel inference: a Bayesian perspective Truth, models, model sets, AIC, and multimodel inference: a Bayesian perspective
Statistical inference begins with viewing data as realizations of stochastic processes. Mathematical models provide partial descriptions of these processes; inference is the process of using the data to obtain a more complete description of the stochastic processes. Wildlife and ecological scientists have become increasingly concerned with the conditional nature of model-based inference...
Authors
Richard J. Barker, William A. Link
Modeling participation duration, with application to the North American Breeding Bird Survey Modeling participation duration, with application to the North American Breeding Bird Survey
We consider “participation histories,” binary sequences consisting of alternating finite sequences of 1s and 0s, ending with an infinite sequence of 0s. Our work is motivated by a study of observer tenure in the North American Breeding Bird Survey (BBS). In our analysis, j indexes an observer’s years of service and Xj is an indicator of participation in the survey; 0s interspersed among...
Authors
William A. Link, John R. Sauer
Hierarchical model analysis of the Atlantic Flyway Breeding Waterfowl Survey Hierarchical model analysis of the Atlantic Flyway Breeding Waterfowl Survey
We used log-linear hierarchical models to analyze data from the Atlantic Flyway Breeding Waterfowl Survey. The survey has been conducted by state biologists each year since 1989 in the northeastern United States from Virginia north to New Hampshire and Vermont. Although yearly population estimates from the survey are used by the United States Fish and Wildlife Service for estimating...
Authors
John R. Sauer, Guthrie S. Zimmerman, Jon D. Klimstra, William A. Link
Insights into the latent multinomial model through mark-resight data on female grizzly bears with cubs-of-the-year Insights into the latent multinomial model through mark-resight data on female grizzly bears with cubs-of-the-year
Mark-resight designs for estimation of population abundance are common and attractive to researchers. However, inference from such designs is very limited when faced with sparse data, either from a low number of marked animals, a low probability of detection, or both. In the Greater Yellowstone Ecosystem, yearly mark-resight data are collected for female grizzly bears with cubs-of-the...
Authors
Megan D. Higgs, William A. Link, Gary C. White, Mark A. Haroldson, Daniel D. Bjornlie
Science and Products
Filter Total Items: 44
No results found.
Filter Total Items: 128
Combining waterfowl and breeding bird survey data to estimate wood duck breeding population size in the Atlantic Flyway Combining waterfowl and breeding bird survey data to estimate wood duck breeding population size in the Atlantic Flyway
We combined data from the Atlantic Flyway Breeding Waterfowl Survey (AFBWS) and the North American Breeding Bird Survey (BBS) to estimate the number of wood ducks (Aix sponsa) in the United States portion of the Atlantic Flyway from 1993 to 2013. The AFBWS is a plot-based survey that covers most of the northern and central portions of the Flyway; when analyzed with adjustments for survey...
Authors
Guthrie S. Zimmerman, John R. Sauer, Kathy Fleming, William A. Link, Pamela R. Garrettson
Truth, models, model sets, AIC, and multimodel inference: a Bayesian perspective Truth, models, model sets, AIC, and multimodel inference: a Bayesian perspective
Statistical inference begins with viewing data as realizations of stochastic processes. Mathematical models provide partial descriptions of these processes; inference is the process of using the data to obtain a more complete description of the stochastic processes. Wildlife and ecological scientists have become increasingly concerned with the conditional nature of model-based inference...
Authors
Richard J. Barker, William A. Link
Modeling participation duration, with application to the North American Breeding Bird Survey Modeling participation duration, with application to the North American Breeding Bird Survey
We consider “participation histories,” binary sequences consisting of alternating finite sequences of 1s and 0s, ending with an infinite sequence of 0s. Our work is motivated by a study of observer tenure in the North American Breeding Bird Survey (BBS). In our analysis, j indexes an observer’s years of service and Xj is an indicator of participation in the survey; 0s interspersed among...
Authors
William A. Link, John R. Sauer
Hierarchical model analysis of the Atlantic Flyway Breeding Waterfowl Survey Hierarchical model analysis of the Atlantic Flyway Breeding Waterfowl Survey
We used log-linear hierarchical models to analyze data from the Atlantic Flyway Breeding Waterfowl Survey. The survey has been conducted by state biologists each year since 1989 in the northeastern United States from Virginia north to New Hampshire and Vermont. Although yearly population estimates from the survey are used by the United States Fish and Wildlife Service for estimating...
Authors
John R. Sauer, Guthrie S. Zimmerman, Jon D. Klimstra, William A. Link
Insights into the latent multinomial model through mark-resight data on female grizzly bears with cubs-of-the-year Insights into the latent multinomial model through mark-resight data on female grizzly bears with cubs-of-the-year
Mark-resight designs for estimation of population abundance are common and attractive to researchers. However, inference from such designs is very limited when faced with sparse data, either from a low number of marked animals, a low probability of detection, or both. In the Greater Yellowstone Ecosystem, yearly mark-resight data are collected for female grizzly bears with cubs-of-the...
Authors
Megan D. Higgs, William A. Link, Gary C. White, Mark A. Haroldson, Daniel D. Bjornlie