Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand.
Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to create WinBUGS code and ancillary files for every analysis they undertake. Accessible to even those who would not routinely use Excel, this book provides a custom-made Excel GUI, immediately useful to those users who want to be able to quickly apply Bayesian methods without being distracted by computing or mathematical issues.
From simple NLMs to complex GLMMs and beyond,Bayesian Analysis Made Simpledescribes how to use Excel for a vast range of Bayesian models in an intuitive manner accessible to the statistically savvy user. Packed with relevant case studies, this book is for any data analyst wishing to apply Bayesian methods to analyze their data, from professional statisticians to statistically aware scientists.
Brief Introduction to Statistics, Bayesian Methods, and WinBUGS
Bayesian Paradigm
WinBUGS
Why Bother Using Bayesian Methods?
BugsXLA Overview and Reference Manual
Downloading and Installing BugsXLA
BugsXLA Toolbar
Bayesian Model Specification
Set Variable Types
MCMC & Output Options
Predictions and Contrasts
Prior Distributions
Graphical Feedback Interface
Model Checks
Import Results
Posterior Plots
BugsXLA Options
WinBUGS Utilities
Normal Linear Models
Generalized Linear Models
Binomial Data
Poisson Data
Survival or Reliability Data
Multivariate Categorical lc,