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STATISTICAL INFERENCE : THEORY OF ESTIMATION
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Intended for the postgraduate students of statistics, this sequel to Statistical Inference: Testing of Hypotheses introduces the problem of estimation in the light of foundations laid down by Sir R.A. Fisher (1922), and follows both classical and Bayesian approaches to solve these problems.The book starts by discussing the growing levels of data summarization, and connects this with sufficient and minimal sufficient statistics. The book provides a complete account of theorems and results on...