Bayesian Methods for Statistical Analysis
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical m...
Main Author: | Puza, Borek (auth) |
---|---|
Format: | eBook |
Published: |
ANU Press
2015
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
An Introduction to Bayesian Methodology via WinBUGS and PROC MCMC
by: Lindsey, Heidi Lula
Published: (2011) -
A Latent Mixture Approach to Modeling Zero-Inflated Bivariate Ordinal Data
by: Kadel, Rajendra
Published: (2013) -
Bayesian Models for Repeated Measures Data Using Markov Chain Monte Carlo Methods
by: Li, Yuanzhi
Published: (2016) -
Separate and Joint Analysis of Longitudinal and Survival Data
by: Rajeev, Deepthi
Published: (2007) -
Comparison of four growth curve models in Angus cow : an application of Bayesian nonlinear mixed model
by: Qin, Qing, master of science in statistics
Published: (2012)