Applied Statistical Modelling for Ecologists
Idioma: inglés
Editorial: Elsevier, 2024
- Tapa blanda
- Nuevo
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Vendedor de AbeBooks desde 7 de abril de 2005
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EUR 85,90
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N° de ref. del artículo GB-9780443137150
- Título
- Applied Statistical Modelling for Ecologists
- Autor
- Kenneth F. Kellner
- Editorial
- Elsevier
- Año de publicación
- 2024
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 10
- 0443137153
- ISBN 13
- 9780443137150
- Peso del artículo
- 1234 gramos
Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS/Nimble, Stan and TMB provides an important guide and comparison of powerful new software packages that are now widely used in research publications, including JAGS, Stan, Nimble, and TMB. It provides a gentle introduction to the most exciting specialist software that is often used to conduct cutting-edge research, along with Bayesian statistics and frequentist statistics with its maximum likelihood estimation method. In addition, this book is simple and accessible, allowing researchers to carry out and understand statistical modeling. Through examples, the book covers the underlying statistical models widely used by scientists across many disciplines. Thus, this book will be useful for anyone who needs to quickly become proficient in statistical modeling, and in the model-fitting engines covered.
- Provides a comprehensive, applied introduction to some of the most exciting, cutting-edge model fitting software packages: JAGS, Nimble, Stan, and TMB
- Covers all the basics of the modern applied statistical modeling that have become a key part of any natural science, including linear, generalized linear, mixed and also hierarchical models
- Provides applied introduction to the two dominant methods of parametric statistical modeling: maximum likelihood and Bayesian inference
- Adopts what could be called a "Rosetta stone approach," wherein understanding of one software, and of its associated language, will be greatly enhanced by seeing the analogous code in one of the other engines
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Acerca del autor
Dr. Marc Kéry is a senior scientist at the Swiss Ornithological Institute, a non-profit NGO with about 200 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the universities of Basel and Zürich, Switzerland. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, USA, he moved into animal population ecology and during the last 25 years has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and applied statistics. He has published more than 150 peer-reviewed journal articles and six textbooks on applied statistical modeling. He has taught more than 60 one-week workshops all over the world to biologists and wildlife managers about the concepts and practice of modern statistical analysis in their fields, something which goes together with his books, which target the same audiences.
Dr. Ken Kellner is an Assistant Research Professor at Michigan State University, MI, United States. Prior to his current position, he completed a Ph.D. in forest ecology at Purdue University, IN, United States, and a postdoc at West Virginia University, WV, United States. Ken's research has covered a wide range of topics including forest management, plant demography, and avian and mammal conservation. He has published this research in more than 40 peer reviewed publications. In addition, Ken is particularly focused on the development of open-source software tools for ecological modeling. He has developed or contributed to several software packages that are widely used by ecologists and featured in several books, including the successful R packages jagsUI, unmarked, and ubms.
“Acerca de” puede pertenecer a otra edición de este título.
PBShop.store US
Wood Dale, IL, Estados Unidos de America
Vendedor de AbeBooks desde 7 de abril de 2005
Tarifas de envío en Estados Unidos de America
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|---|---|---|
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