To see accurate pricing, please choose your delivery country.
 
 
United States
£ GBP
All Shops

British Wildlife

8 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £33 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £26 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Doing Bayesian Data Analysis A Tutorial Introduction with R and BUGS

Out of Print
By: John K Kruschke
653 pages, 175 illus
Publisher: Academic Press
Doing Bayesian Data Analysis
Click to have a closer look
  • Doing Bayesian Data Analysis ISBN: 9780123814852 Hardback Nov 2010 Out of Print #187992
About this book Contents Related titles Recommended titles
Images Additional images
Doing Bayesian Data AnalysisDoing Bayesian Data AnalysisDoing Bayesian Data AnalysisDoing Bayesian Data Analysis

About this book

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. This book provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples.

This book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. The text delivers comprehensive coverage of all scenarios addressed by non-Bayesian textbooks - t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis).

Contents

- This Book's Organization: Read me First!
- The Basics: Parameters, Probability, Bayes' Rule and R
- What is this stuff called probability?
- Bayes' Rule

Part II All the Fundamental Concepts and Techniques in a Simple Scenario
- Inferring a Binomial Proportion via Exact mathematical Analysis
- Inferring a Binomial Proportion via Grid Approximation
- Inferring a Binomial Proportion via Monte Carlo Methods
- Inferences Regarding Two Binomial Proportions
- Bernoulli Likelihood with Hierarchical Prior
- Hierarchical modeling and model comparison
- Null Hypothesis Significance Testing
- Bayesian Approaches to Testing a Point ("Null") Hypothesis
- Goals, Power, and Sample Size

Part III The Generalized Linear Model
- Overview of the Generalized Linear Model
- Metric Predicted Variable on a Single Group
- Metric Predicted Variable with One Metric Predictor
- Metric Predicted Variable with Multiple Metric Predictors
- Metric Predicted Variable with One Nominal Predictor
- Metric Predicted Variable with Multiple Nominal Predictors
- Dichotomous Predicted Variable
- Original Predicted Variable, Contingency Table Analysis

Part IV Tools in the Trunk
- Reparameterization, a.k.a. Change of Variables

References
Index

Customer Reviews

Out of Print
By: John K Kruschke
653 pages, 175 illus
Publisher: Academic Press
Current promotions
New and Forthcoming BooksNHBS Moth TrapBritish Wildlife MagazineBuyers Guides