
Bayesian Theory and Methods with Applications
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Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical estimation of the unknown phenomenon of interest. The contents demonstrate that where such methods are applicable, they offer the best possible estimate of the unknown. Beyond presenting Bayesian theory and methods of analysis, the text is illustrated with a variety of applications to real world problems.
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Content
- Intro
- Bayesian Theory and Methods with Applications
- Preface
- Contents
- General Questions of Bayes Theory
- The Accepted Bayes Method of Estimation
- The Methods of Parametric Bayes Estimation Based on Censored Samples
- Nonparametric Bayes Estimation
- Quasi-Parametric Bayes Estimates of the TTF Probability
- Estimates of the TTF Probability under the Conditions of a Partial Prior Uncertainty
- Empirical Bayes Estimates of Reliability
- Theoretical Model for Engineering Reliability
- Statistical Reliability Analysis Prior Bayes Estimates
- Statistical Reliability Analysis Posterior Bayes Estimates
- Bibliography
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