ABSTRACT

Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to col

chapter 1|12 pages

Prologue

chapter 2|24 pages

Fundamental Ideas I

chapter 3|16 pages

Integration Versus Simulation

chapter 4|44 pages

Fundamental Ideas II

chapter 5|42 pages

Comparing Populations

chapter 6|22 pages

Simulations

chapter 7|20 pages

Basic Concepts of Regression

chapter 8|42 pages

Binomial Regression

chapter 9|40 pages

Linear Regression

chapter 10|24 pages

Correlated Data

chapter 11|14 pages

Count Data

chapter 12|24 pages

Time to Event Data

chapter 13|40 pages

Time to Event Regression

chapter 14|20 pages

Binary Diagnostic Tests

chapter 15|34 pages

Nonparametric Models