x

Our Privacy Policy has changed. By using this site, you agree to the Privacy Policy.

Introduction to WinBUGS for Ecologists Bayesian Approach to Regression, ANOVA, Mixed Models and Related Analyses

ISBN-10: 0123786053
ISBN-13: 9780123786050
Edition: 2010
Authors: Marc Kery
List price: $35.99
eBook available
This item qualifies for FREE shipping

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

30 day, 100% satisfaction guarantee

If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.

Learn more about our returns policy

eBooks Starting from $53.95
Buy
what's this?
Rush Rewards U
Members Receive:
coins
coins
You have reached 400 XP and carrot coins. That is the daily max!
You could win $10,000

Get an entry for every item you buy, rent, or sell.

Study Briefs

Limited time offer: Get the first one free! (?)

All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.

Add to cart
Study Briefs
Periodic Table Online content $4.95 $1.99
Add to cart
Study Briefs
History of Western Art Online content $4.95 $1.99

Customers also bought

Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading

Book details

List price: $35.99
Copyright year: 2010
Publisher: Elsevier Science & Technology
Publication date: 7/19/2010
Binding: Paperback
Pages: 320
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 1.364
Language: English

Foreword
Preface
Introduction
Advantages of the Bayesian Approach to Statistics
So Why Then Isn't Everyone a Bayesian?
WinBUGS
Why This Book?
What This Book Is Not About: Theory of Bayesian Statistics and Computation
Further Reading
Summary
Introduction to the Bayesian Analysis of a Statistical Model
Probability Theory and Statistics
Two Views of Statistics: Classical and Bayesian
The Importance of Modem Algorithms and Computers for Bayesian Statistics
Markov chain Monte Carlo (MCMC) and Gibbs Sampling
What Comes after MCMC?
Some Shared Challenges in the Bayesian and the Classical Analysis of a Statistical Model
Pointer to Special Topics in This Book
Summary
WinBUGS
What Is WinBUGS?
Running WinBUGS from R
WinBUGS Frees the Modeler in You
Some Technicalities and Conventions
A First Session in WinBUGS: The �Model of the Mean�
Introduction
Setting Up the Analysis
Starting the MCMC blackbox
Summarizing the Results
Summary
Running WinBUGS from R via R2WinBUGS
Introduction
Data Generation
Analysis Using R
Analysis Using WinBUGS
Summary
Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor
Introduction
Stochastic Part of Linear Models: Statistical Distributions
Deterministic Part of Linear Models: Linear Predictor and Design Matrices
Summary
t-Test: Equal and Unequal Variances
t-Test with Equal Variances
t-Test with Unequal Variances
Summary and a Comment on the Modeling of Variances
Normal Linear Regression
Introduction
Data Generation
Analysis Using R
Analysis Using WinBUGS
Summary
Normal One-Way ANOVA
Introduction: Fixed and Random Effects
Fixed-Effects ANOVA
Random-Effects ANOVA
Summary
Normal Two-Way ANOVA
Introduction: Main and Interaction Effects
Data Generation
Aside: Using Simulation to Assess Bias and Precision of an Estimator
Analysis Using R
Analysis Using WinBUGS
Summary
General Linear Model (ANCOVA)
Introduction
Data Generation
Analysis Using R
Analysis Using WinBUGS (and a Cautionary Tale About the Importance of Covaviate Standardization)
Summary
Linear Mixed-Effects Model
Introduction
Data Generation
Analysis Under a Random-Intercepts Model
Analysis Under a Random-Coefficients Model without Correlation between Intercept and Slope
The Random-Coefficients Model with Correlation between Intercept and Slope
Summary
Introduction to the Generalized Linear Model: Poisson �t-test�
Introduction
An Important but Often Forgotten Issue with Count Data
Data Generation
Analysis Using R
Analysis Using WinBUGS
Summary
Overdispersion, Zero-Inflation, and Offsets in the GLM
Overdispersion
Zero-Inflation
Offsets
Summary
Poisson ANCOVA
Introduction
Data Generation
Analysis Using R
Analysis Using WinBUGS
Summary
Poisson Mixed-Effects Model (Poisson GLMM)
Introduction
Data Generation
Analysis Under a Random-Coefficients Model
Summary
Binomial �t-Test�
Introduction
Data Generation
Analysis Using R
Analysis Using WinBUGS
Summary
Binomial Analysis of Covariance
Introduction
Data Generation
Analysis Using R
Analysis Using WinBUGS
Summary
Binomial Mixed-Effects Model (Binomial GLMM)
Introduction
Data Generation
Analysis Under a Random-Coefficients Model
Summary
Nonstandard GLMMs 1: Site-Occupancy Species Distribution Model
Introduction
Data Generation
Analysis Using WinBUGS
Summary
Nonstandard GLMMs 2: Binomial Mixture Model to Model Abundance
Introduction
Data Generation
Analysis Using WinBUGS
Summary
Conclusions
Appendix
References
Index

×
Free shipping on orders over $35*

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

Learn more about the TextbookRush Marketplace.

×