rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Applied statistical modelling for ecologists
    sub title: a practical guide to Bayesian and likelihood inference using R, JAGS, NIMBLE, Stan and TMB
  name:
    name part: Kéry, Marc
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Kellner, Kenneth F.
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxi, 527 pages) : illustrations
  abstract: "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. 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, an…
  table of contents: Introduction -- Introduction to statistical inference -- Linear regression models and their extensions to generalized linear, hierarchical, and integrated models -- Introduction to general-purpose model-fitting engines and the "model of the mean" -- Normal linear regression -- Comparing two groups in a normal model -- Models with a single categorical covariate with more than two levels -- Comparisons along two classifications in a model with two factors -- General linear model for a normal response with continuous and categorical explanatory variables -- Linear mixed-effects model -- Introduction to the generalized linear model (GLM) : comparing two groups in a Poisson regression -- Overdispersion, zero-inflation and offsets in a Poisson GLM -- Poisson GLM with continuous and categorical explanatory variables -- Poisson generalized linear mixed model, or Poisson GLMM -- Comparing two groups in a logistic regression model -- Binomial GLM with continuous and categorical explanatory variables -- Binomial generalized linear mixed model -- Model building, model checking, and model selection -- Occupancy models -- Integrated models -- Conclusion.
  note: Marc Kéry, Kenneth F. Kellner.
  note: Includes bibliographical references (pages 505-518) and index.
  subject:
    topic: Ecology
    topic: Statistical methods
  classification: QH541.15.S72 K47 2024eb
  classification: 577.072/7
  related item:
    title info:
      title: Applied statistical modelling for ecologists
    name:
      name part: Kéry, Marc.
    origin info:
      publisher: Amsterdam, Netherlands ; Cambridge, MA, United States : Elsevier, [2024]
      edition: 1st edition.
    identifier: (OCoLC)1389879421
  identifier: 9780443137167
  identifier: 0443137161
  identifier: 9780443137150
  identifier: 0443137153
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 240722
    record change date: 20260327180133.0
    record identifier: in00005773527
    language of cataloging:
      language term: eng