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A concise account of the ways in which the Bayesian approach to statistics develops and the contrast between it and the conventional approach. Rather than doing everything in the greatest generality to begin with, theory is built up step-by-step. Essential concepts are brought out of discussions of the salient features of specific examples.
Bayesian Inference for the Normal Distribution.
Some Other Common Distributions.
Correlation, Regression and the Analysis of Variance.