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Introduction to WinBUGS for ecologists : Bayesian approach to regression, ANOVA, mixed models and related analyses
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ISBN: 1282755668 9786612755668 0123786061 0123786053 9780123786067 9781282755666 6612755660 9780123786050 Year: 2010 Publisher: Amsterdam ; Boston : Elsevier,

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Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Introduction to WINBUGS for Ecologists goes right to the heart of the matter by providing ecologists with a comprehensive, yet concise, guide to applying WinBUGS to the types of models that they use most often: linear (LM), generalized linear (GLM),


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Applied hierarchical modeling in ecology : analysis of distribution, abundance and species richness in R and BUGS
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Year: 2016 Publisher: Amsterdam Elsevier/Academic Press

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Applied statistical modelling for ecologists : a practical guide to Bayesian and likelihood inference using R, JAGS, NIMBLE, Stan and TMB
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ISBN: 9780443137150 0443137161 0443137153 9780443137167 Year: 2024 Publisher: Amsterdam, Netherlands ; Cambridge, MA, United States : Elsevier,

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"Applied Statistical Modelling for Ecologists provides a gentle introduction to the essential models of applied statistics: linear models, generalized linear models, mixed and hierarchical models. All models are fit with both a likelihood and a Bayesian approach, using several powerful software packages widely used in research publications: JAGS, NIMBLE, Stan, and TMB. In addition, the foundational method of maximum likelihood is explained in a manner that ecologists can really understand. This book is the successor of the widely used Introduction to WinBUGS for Ecologists (Kéry, Academic Press, 2010). Like its parent, it is extremely effective for both classroom use and self-study, allowing students and researchers alike to quickly learn, understand, and carry out a very wide range of statistical modelling tasks. The examples in Applied Statistical Modelling for Ecologists come from ecology and the environmental sciences, but the underlying statistical models are very widely used by scientists across many disciplines. This book will be useful for anybody who needs to learn and quickly become proficient in statistical modelling, with either a likelihood or a Bayesian focus, and in the model-fitting engines covered, including the three latest packages NIMBLE, Stan, and TMB. Key Features: Contains a concise and gentle introduction to probability and applied statistics as needed in ecology and the environmental sciences. Covers the foundations of modern applied statistical modelling. Gives a comprehensive, applied introduction to what currently are the most widely used and most exciting, cutting-edge model fitting software packages: JAGS, NIMBLE, Stan, and TMB. Provides a highly accessible applied introduction to the two dominant methods of fitting parametric statistical models: maximum likelihood and Bayesian posterior inference. Details the principles of model building, model checking and model selection. Adopts a “Rosetta Stone” approach, wherein understanding of one software, and of its associated language, will be greatly enhanced by seeing the analogous code in other engines. Provides all code available for download for students, at https://www-elsevier-com.proxy.lib.uwaterloo.ca/books-and-journals/book-companion/9780443137150 "--Provided by publisher.

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