Abstract
This article explains estimation of gene frequencies from a Bayesian viewpoint using prior information. How to obtain Bayes estimators and the highest posterior density credible sets (Bayesian counterpart to classical confidence intervals) for gene frequencies is described. Tests of hypotheses are also discussed. A readily available mathematical application package is used to demonstrate the mathematical computations.
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