The second edition now has an updated statistical inference section (chapters 8 to 13). Many revisions have been made, the references have been updated, and many new problems and worked examples have been added.

· An excellent introduction to the field of statistics organized in three parts: probability, foundations of statistical inference, and special topics. The Second Edition boasts a completely updated statistical inference section as well as many new problems, examples, and figures. It omits the introduction section and the chapter on sequential statistical inference. Includes over 350 worked examples. · Offers the proof of the central limit theorem by the method of operators and proof of the strong law of large numbers. · Contains a section on minimal sufficient statistics. · Carefully presents the theory of confidence intervals, including Bayesian intervals and shortest-length confidence intervals.

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