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This book presents Bayes theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters. It does so in a simple manner that is easy to comprehend. The book compares traditional and Bayesian methods with the rules of probability presented in a logical way allowing an intuitive understanding of random variables and their probability distributions to be formed.
Probability.- Parameter Estimation, Confidence Regions and Hypothesis Testing.- Linear Model.- Special Models and Applications.- Numerical Methods.An easy to understand introduction to Bayesian statistics
Compares traditional and Bayesian methods with the rules of probability presented in a logical way allowing an intuitive understanding of random variables and their probability distributions to be formed
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