Applied Bayesian Semiparametric Methods with Special Application to the Accelerated Failure Time Model and to Hierarchical Models for Screening
Title | Applied Bayesian Semiparametric Methods with Special Application to the Accelerated Failure Time Model and to Hierarchical Models for Screening PDF eBook |
Author | Timothy Edward Hanson |
Publisher | |
Pages | 268 |
Release | 2000 |
Genre | |
ISBN |
Applied Bayesian Hierarchical Methods
Title | Applied Bayesian Hierarchical Methods PDF eBook |
Author | Peter D. Congdon |
Publisher | CRC Press |
Pages | 606 |
Release | 2010-05-19 |
Genre | Mathematics |
ISBN | 1584887214 |
The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models involves complex data structures and is often described as a revolutionary development. An intermediate-level treatment of Bayesian hierarchical models and their applications, Applied Bayesian Hierarchical Methods demonstrates the advantages of a Bayesian approach
Bayesian Reliability
Title | Bayesian Reliability PDF eBook |
Author | Michael S. Hamada |
Publisher | Springer Science & Business Media |
Pages | 445 |
Release | 2008-08-15 |
Genre | Mathematics |
ISBN | 0387779507 |
Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses -- algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward. This book is primarily a reference collection of modern Bayesian methods in reliability for use by reliability practitioners. There are more than 70 illustrative examples, most of which utilize real-world data. This book can also be used as a textbook for a course in reliability and contains more than 160 exercises. Noteworthy highlights of the book include Bayesian approaches for the following: Goodness-of-fit and model selection methods Hierarchical models for reliability estimation Fault tree analysis methodology that supports data acquisition at all levels in the tree Bayesian networks in reliability analysis Analysis of failure count and failure time data collected from repairable systems, and the assessment of various related performance criteria Analysis of nondestructive and destructive degradation data Optimal design of reliability experiments Hierarchical reliability assurance testing
Bayesian Semiparametric Inference for Accelerated Failure Time Models
Title | Bayesian Semiparametric Inference for Accelerated Failure Time Models PDF eBook |
Author | Raffaele Argiento |
Publisher | |
Pages | |
Release | 2006 |
Genre | |
ISBN |
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
Title | Introduction to Applied Bayesian Statistics and Estimation for Social Scientists PDF eBook |
Author | Scott M. Lynch |
Publisher | Springer Science & Business Media |
Pages | 376 |
Release | 2007-06-30 |
Genre | Social Science |
ISBN | 0387712658 |
This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.
Journal of the American Statistical Association
Title | Journal of the American Statistical Association PDF eBook |
Author | |
Publisher | |
Pages | 916 |
Release | 2006 |
Genre | Electronic journals |
ISBN |
A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.
Dissertation Abstracts International
Title | Dissertation Abstracts International PDF eBook |
Author | |
Publisher | |
Pages | 1006 |
Release | 2008 |
Genre | Dissertations, Academic |
ISBN |