Introduction to WinBUGS for Ecologists: A Bayesian Approach to Regression, Anova, Mixed Models, and Related Analyses

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9780123786050: Introduction to WinBUGS for Ecologists: A Bayesian Approach to Regression, Anova, Mixed Models, and Related Analyses
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"I don't believe this book was written with the goal of being treated as the primary text of an intro Bayesian statistics course. That said, it could prove to be a useful supplemental text for an introductory Bayesian course or even a linear models course. Although the book was geared towards ecologists, I believe it would be an excellent library addition for any applied modeler interested in applying Bayesian methodologies in their work."--The American Statistician

From the Publisher:

Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the advantages of a Bayesian approach to statistics and introducing the WinBUGS software. It reviews the four most common statistical distributions: the normal, the uniform, the binomial, and the Poisson. It describes the two different kinds of analysis of variance (ANOVA): one-way and two- or multiway. It looks at the general linear model, or ANCOVA, in R and WinBUGS. It introduces generalized linear model (GLM), i.e., the extension of the normal linear model to allow error distributions other than the normal. The GLM is then extended contain additional sources of random variation to become a generalized linear mixed model (GLMM) for a Poisson example and for a binomial example. The final two chapters showcase two fairly novel and nonstandard versions of a GLMM. The first is the site-occupancy model for species distributions; the second is the binomial (or N-) mixture model for estimation and modeling of abundance. * Introduction to the essential theories of key models used by ecologists * Complete juxtaposition of classical analyses in R and Bayesian analysis of the same models in WinBUGS* Provides every detail of R and WinBUGS code required to conduct all analyses* Companion Web Appendix that contains all code contained in the book and additional material (including more code and solutions to exercises)

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Kery, Marc
Editorial: Elsevier Science Publishing Co Inc, United States (2010)
ISBN 10: 0123786053 ISBN 13: 9780123786050
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Descripción Elsevier Science Publishing Co Inc, United States, 2010. Paperback. Estado de conservación: New. 229 x 152 mm. Language: English . Brand New Book. Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the advantages of a Bayesian approach to statistics and introducing the WinBUGS software. It reviews the four most common statistical distributions: the normal, the uniform, the binomial, and the Poisson. It describes the two different kinds of analysis of variance (ANOVA): one-way and two- or multiway. It looks at the general linear model, or ANCOVA, in R and WinBUGS. It introduces generalized linear model (GLM), i.e., the extension of the normal linear model to allow error distributions other than the normal. The GLM is then extended contain additional sources of random variation to become a generalized linear mixed model (GLMM) for a Poisson example and for a binomial example. The final two chapters showcase two fairly novel and nonstandard versions of a GLMM. The first is the site-occupancy model for species distributions; the second is the binomial (or N-) mixture model for estimation and modeling of abundance. * Introduction to the essential theories of key models used by ecologists * Complete juxtaposition of classical analyses in R and Bayesian analysis of the same models in WinBUGS* Provides every detail of R and WinBUGS code required to conduct all analyses* Companion Web Appendix that contains all code contained in the book and additional material (including more code and solutions to exercises). Nº de ref. de la librería AAZ9780123786050

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Kery, Marc
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Descripción Academic Press 2010-07-19, 2010. Estado de conservación: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Nº de ref. de la librería NU-GRD-00599253

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Kery, Marc
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Descripción Elsevier Science Publishing Co Inc, United States, 2010. Paperback. Estado de conservación: New. 229 x 152 mm. Language: English . Brand New Book. Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the advantages of a Bayesian approach to statistics and introducing the WinBUGS software. It reviews the four most common statistical distributions: the normal, the uniform, the binomial, and the Poisson. It describes the two different kinds of analysis of variance (ANOVA): one-way and two- or multiway. It looks at the general linear model, or ANCOVA, in R and WinBUGS. It introduces generalized linear model (GLM), i.e., the extension of the normal linear model to allow error distributions other than the normal. The GLM is then extended contain additional sources of random variation to become a generalized linear mixed model (GLMM) for a Poisson example and for a binomial example. The final two chapters showcase two fairly novel and nonstandard versions of a GLMM. The first is the site-occupancy model for species distributions; the second is the binomial (or N-) mixture model for estimation and modeling of abundance. Nº de ref. de la librería AAZ9780123786050

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Descripción Elsevier Science Publishing Co Inc. Paperback. Estado de conservación: new. BRAND NEW, Introduction to WinBUGS for Ecologists: Bayesian Approach to Regression, ANOVA, Mixed Models and Related Analyses, Marc Kery, Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the advantages of a Bayesian approach to statistics and introducing the WinBUGS software. It reviews the four most common statistical distributions: the normal, the uniform, the binomial, and the Poisson. It describes the two different kinds of analysis of variance (ANOVA): one-way and two- or multiway. It looks at the general linear model, or ANCOVA, in R and WinBUGS. It introduces generalized linear model (GLM), i.e., the extension of the normal linear model to allow error distributions other than the normal. The GLM is then extended contain additional sources of random variation to become a generalized linear mixed model (GLMM) for a Poisson example and for a binomial example. The final two chapters showcase two fairly novel and nonstandard versions of a GLMM. The first is the site-occupancy model for species distributions; the second is the binomial (or N-) mixture model for estimation and modeling of abundance. * Introduction to the essential theories of key models used by ecologists * Complete juxtaposition of classical analyses in R and Bayesian analysis of the same models in WinBUGS* Provides every detail of R and WinBUGS code required to conduct all analyses* Companion Web Appendix that contains all code contained in the book and additional material (including more code and solutions to exercises). Nº de ref. de la librería B9780123786050

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Descripción Elsevier Science Publishing Co Inc 2010-07-19, San Diego, 2010. paperback. Estado de conservación: New. Nº de ref. de la librería 9780123786050

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Descripción Estado de conservación: New. Bookseller Inventory # ST0123786053. Nº de ref. de la librería ST0123786053

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ISBN 10: 0123786053 ISBN 13: 9780123786050
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Descripción Elsevier Science Publishing Co Inc, 2010. Estado de conservación: New. 2010. 1st Edition. Paperback. Combines the use of simulated data sets "paired" analyses using WinBUGS (in a Bayesian framework for analysis) and in R (in a frequentist mode of inference) and uses a very detailed step-by-step tutorial presentation style that really lets the reader repeat every step of the application of a given mode in their own research. Num Pages: 320 pages, Illustrated. BIC Classification: PBT; PSAF. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 20. Weight in Grams: 542. . . . . . . Nº de ref. de la librería V9780123786050

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Kery, Marc
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Descripción Academic Press, 2010. Paperback. Estado de conservación: New. Brand New Book. Shipping: Once your order has been confirmed and payment received, your order will then be processed. The book will be located by our staff, packaged and despatched to you as quickly as possible. From time to time, items get mislaid en route. If your item fails to arrive, please contact us first. We will endeavour to trace the item for you and where necessary, replace or refund the item. Please do not leave negative feedback without contacting us first. All orders will be dispatched within two working days. If you have any quesions please contact us. Nº de ref. de la librería V9780123786050

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Descripción Paperback. Estado de conservación: New. Not Signed; Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is ba. book. Nº de ref. de la librería ria9780123786050_rkm

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Descripción Elsevier Science Publishing Co Inc. Estado de conservación: New. 2010. 1st Edition. Paperback. Combines the use of simulated data sets "paired" analyses using WinBUGS (in a Bayesian framework for analysis) and in R (in a frequentist mode of inference) and uses a very detailed step-by-step tutorial presentation style that really lets the reader repeat every step of the application of a given mode in their own research. Num Pages: 320 pages, Illustrated. BIC Classification: PBT; PSAF. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 20. Weight in Grams: 542. . . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780123786050

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