Search "Bayesian Analysis"

Box, George E. P. - Bayesian Inference in Statistical Analysis, ebook

Bayesian Inference in Statistical Analysis

Box, George E. P.


Anderson The Statistical Analysis of Time Series T. S. Arthanari & Yadolah Dodge Mathematical Programming in Statistics Emil Artin Geometric Algebra Norman T. J. Bailey The Elements of Stochastic Processes with Applications to the Natural Sciences Robert G. Bartle

Lee, Peter M. - Bayesian Statistics: An Introduction, ebook

Bayesian Statistics: An Introduction

Lee, Peter M.


Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based

Bolstad, William M. - Introduction to Bayesian Statistics, ebook

Introduction to Bayesian Statistics

Bolstad, William M.


There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. Bayesian statistics has many important advantages

Press, S. James - The Subjectivity of Scientists and the Bayesian Approach, ebook

The Subjectivity of Scientists and the Bayesian Approach

Press, S. James


Comparing and contrasting the reality of subjectivity in the work of history's great scientists and the modern Bayesian approach to statistical analysis
Scientists and researchers are taught to analyze their data from an objective point of view, allowing the data to speak for themselves

Congdon, Peter - Applied Bayesian Modelling, ebook

Applied Bayesian Modelling

Congdon, Peter


This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical

Congdon, Peter - Bayesian Statistical Modelling, ebook

Bayesian Statistical Modelling

Congdon, Peter


Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods

Retherford, Robert D. - Statistical Models for Causal Analysis, ebook

Statistical Models for Causal Analysis

Retherford, Robert D.


Simple bivariate regression, multiple regression, multiple classification analysis, path analysis, logit regression, multinomial logit regression and survival models are among the subjects covered. Features an appendix of computer

Congdon, Peter - Bayesian Models for Categorical Data, ebook

Bayesian Models for Categorical Data

Congdon, Peter


The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to