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Bayesian Analysis for Population Ecology

2009-10-30 Mathematics
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Release : 2009-10-30
Genre : Mathematics
Kind : eBook
Book Rating : 881/5 ( reviews)

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Book Synopsis Bayesian Analysis for Population Ecology by : Ruth King

Download or read book Bayesian Analysis for Population Ecology written by Ruth King. This book was released on 2009-10-30. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing model choice and model averaging, this book presents up-to-date Bayesian methods for analyzing complex ecological data. It provides a basic introduction to Bayesian methods that assumes no prior knowledge. The book includes detailed descriptions of methods that deal with covariate data and covers techniques at the forefront of research, such as model discrimination and model averaging. Leaders in the statistical ecology field, the authors apply the theory to a wide range of actual case studies and illustrate the methods using WinBUGS and R. The computer programs and full details of the data sets are available on the book's website.

Bayesian Population Analysis Using WinBUGS

2012 Computers
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Release : 2012
Genre : Computers
Kind : eBook
Book Rating : 208/5 ( reviews)

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Book Synopsis Bayesian Population Analysis Using WinBUGS by : Marc Kéry

Download or read book Bayesian Population Analysis Using WinBUGS written by Marc Kéry. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt: 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. Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist All WinBUGS/OpenBUGS analyses are completely integrated in software R Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R

Bayesian Methods for Ecology

2007-05-10 Science
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Release : 2007-05-10
Genre : Science
Kind : eBook
Book Rating : 87X/5 ( reviews)

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Book Synopsis Bayesian Methods for Ecology by : Michael A. McCarthy

Download or read book Bayesian Methods for Ecology written by Michael A. McCarthy. This book was released on 2007-05-10. Available in PDF, EPUB and Kindle. Book excerpt: The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using a clear and accessible style. The text also incorporates case studies to demonstrate mark-recapture analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are also described here, for example, the incorporation of any relevant prior information and the ability to assess the evidence in favour of competing hypotheses. Free software is available as well as an accompanying web-site containing the data files and WinBUGS codes. Bayesian Methods for Ecology will appeal to academic researchers, upper undergraduate and graduate students of Ecology.

Population Ecology in Practice

2020-02-10 Science
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Release : 2020-02-10
Genre : Science
Kind : eBook
Book Rating : 148/5 ( reviews)

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Book Synopsis Population Ecology in Practice by : Dennis L. Murray

Download or read book Population Ecology in Practice written by Dennis L. Murray. This book was released on 2020-02-10. Available in PDF, EPUB and Kindle. Book excerpt: A synthesis of contemporary analytical and modeling approaches in population ecology The book provides an overview of the key analytical approaches that are currently used in demographic, genetic, and spatial analyses in population ecology. The chapters present current problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to ecological data. The book covers new tools for designing robust field studies; estimation of abundance and demographic rates; matrix population models and analyses of population dynamics; and current approaches for genetic and spatial analysis. Each chapter is illustrated by empirical examples based on real datasets, with a companion website that offers online exercises and examples of computer code in the R statistical software platform. Fills a niche for a book that emphasizes applied aspects of population analysis Covers many of the current methods being used to analyse population dynamics and structure Illustrates the application of specific analytical methods through worked examples based on real datasets Offers readers the opportunity to work through examples or adapt the routines to their own datasets using computer code in the R statistical platform Population Ecology in Practice is an excellent book for upper-level undergraduate and graduate students taking courses in population ecology or ecological statistics, as well as established researchers needing a desktop reference for contemporary methods used to develop robust population assessments.

Introduction to Bayesian Methods in Ecology and Natural Resources

2020-11-26 Science
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Release : 2020-11-26
Genre : Science
Kind : eBook
Book Rating : 50X/5 ( reviews)

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Book Synopsis Introduction to Bayesian Methods in Ecology and Natural Resources by : Edwin J. Green

Download or read book Introduction to Bayesian Methods in Ecology and Natural Resources written by Edwin J. Green. This book was released on 2020-11-26. Available in PDF, EPUB and Kindle. Book excerpt: This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated. This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference. Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference.

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