By Marc Kery,Michael Schaub
Bayesian statistics has exploded into biology and its sub-disciplines, comparable to ecology, during the last decade. The loose software WinBUGS, and its open-source sister OpenBugs, is presently the single versatile and general-purpose application on hand with which the common ecologist can behavior average and non-standard Bayesian statistics.
- Comprehensive and richly commented examples illustrate quite a lot of versions which are such a lot correct to the learn of a latest inhabitants ecologist
- All WinBUGS/OpenBUGS analyses are thoroughly built-in in software program R
- Includes whole documentation of all R and WinBUGS code required to behavior analyses and indicates all the mandatory steps from having the information in a textual content dossier out of Excel to studying and processing the output from WinBUGS in R
Read or Download Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective PDF
Similar mathematical & statistical books
Facing tools for sampling from posterior distributions and the way to compute posterior amounts of curiosity utilizing Markov chain Monte Carlo (MCMC) samples, this booklet addresses such themes as enhancing simulation accuracy, marginal posterior density estimation, estimation of normalizing constants, restricted parameter difficulties, maximum posterior density period calculations, computation of posterior modes, and posterior computations for proportional risks versions and Dirichlet procedure versions.
Die Einführung in die moderne Datenanalyse hat sich zu dem Standard-Handbuch für SPSS-Anwender entwickelt und bereits weit über 60. 000 Käufer in SPSS eingeführt. Praxisorientiert werden anhand zahlreicher interessanter Beispieldatensätze univariate, bivariate und multivariate Verfahren der statistischen Datenanalyse mit SPSS 20 vermittelt.
Making statistics—and statistical software—accessible and rewardingThis ebook offers readers with step by step advice on operating a large choice of statistical analyses in IBM® SPSS® data, Stata, and different courses. writer David Kremelberg starts off his trouble-free textual content through masking charts and graphs via regression, time-series research, and issue research.
Use math in distinct how you can examine belongings you discover in existence and use facts to realize the unforeseen. there's really a large range of subject matters the following and so all age degrees and talent degrees will benefit from the discussions. you will see how the author's special standpoint places a mathematical spin on every little thing from politicians to hippos.
Additional info for Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective
Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective by Marc Kery,Michael Schaub