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  3. Matematisk modellering

Applied Statistical Modelling for Ecologists

- A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS, NIMBLE, Stan and TMB
Af: Kenneth F. Kellner, Marc Kery Engelsk Paperback

Applied Statistical Modelling for Ecologists

- A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS, NIMBLE, Stan and TMB
Af: Kenneth F. Kellner, Marc Kery Engelsk Paperback
Tjek vores konkurrenters priser
**2025 PROSE Award Finalist in Environmental Science**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.
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**2025 PROSE Award Finalist in Environmental Science**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.
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Produktdetaljer
Sprog: Engelsk
Sider: 550
ISBN-13: 9780443137150
Indbinding: Paperback
Udgave:
ISBN-10: 0443137153
Kategori: Matematisk modellering
Udg. Dato: 18 jul 2024
Længde: 30mm
Bredde: 191mm
Højde: 233mm
Forlag: Elsevier - Health Sciences Division
Oplagsdato: 18 jul 2024
Forfatter(e): Kenneth F. Kellner, Marc Kery
Forfatter(e) Kenneth F. Kellner, Marc Kery

Kategori Matematisk modellering

ISBN-13 9780443137150

Sprog Engelsk

Indbinding Paperback

Sider 550

Udgave

Længde 30mm

Bredde 191mm

Højde 233mm

Udg. Dato 18 jul 2024

Oplagsdato 18 jul 2024

Forlag Elsevier - Health Sciences Division

Kategori sammenhænge