Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities.
Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities
by J. Andrew Royle, Robert M. Dorazio
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Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities Télécharger Livres Gratuits
Hierarchical Modeling and Inference in Ecology The A guide to data collection modeling and inference strategies for biological survey data using Bayesian and classical statistical methods This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models with a strict focus on the use of probability models and parametric inference Hierarchical Modeling and Inference in Ecology USGS Hierarchical Modeling and Inference in Ecology The Analysis of Data from Populations Metapopulations and Communities J Andrew Royle and Robert M Dorazio abundance models based on many sampling protocols including distance sampling capturerecapture models with individual effects spatial capturerecapture models based on camera trapping and related methods population and metapopulation dynamic models models of biodiversity community structure and dynamics Hierarchical Modeling and Inference in Ecology ScienceDirect Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed The principles of hierarchical modeling are developed and applied to problems in population metapopulation community and metacommunity systems The book provides the first synthetic treatment of many recent methodological advances in ecological Hierarchical Modeling and Inference in Ecology Hierarchical Modeling and Inference in Ecology The Analysis of Data from Populations Metapopulations and Communities J Andrew Royle and Robert M Dorazio The model is similar to that described in Chapter 7 but this is from Gardner et al 2009 Ecology More details are given in the header of the R script Hierarchical Modeling and Inference in Ecology The Hierarchical Modeling and Inference in Ecology The Analysis of Data from Populations Metapopulations and Communities The principles of hierarchical modeling are developed and applied to problems in population metapopulation community and metacommunity systems The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures Hierarchical Modeling and Inference in Ecology The Hierarchical Modeling and Inference in Ecology The Analysis of Data from Populations Metapopulations and Communities The principles of hierarchical modeling are developed and applied to problems in population metapopulation community and metacommunity systems The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures Bayesian data analysis in population ecology motivations describe in this section an analysis of data based on a hierarchical model that is widely used in ecology This model was developed to estimate the occurrence of a species plant or animal from data collected in presenceabsence surveys Importantly these surveys use a sampling protocol that allows species occurrences to be estimated Hierarchical modeling and inference in ecology Technical material R code data sets WinBUGS code for the book Hierarchical modeling and inference in ecology by Dorazio and Royle Ecological Inference GARY KING Ecological Inference Inferring individual behavior from grouplevel data The first approach to incorporate both unitlevel deterministic bounds and crossunit statistical information methods for 2x2 and larger tables Bayesian model averaging applications to elections software Applied Hierarchical Modeling in Ecology Analysis of Applied Hierarchical Modeling in Ecology Analysis of distribution abundance and species richness in R and BUGS Volume 1Prelude and Static Models Includes companion website containing data sets code solutions to exercises and further information
Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities J. Andrew Royle, Robert M. Dorazio Télécharger Livres Gratuits
