An introduction to the field of statistics, which assumes some prior knowledge of mathematics, but not of probability or statistics. The text is organized into three parts: part one covers the core of the probability topic; part two covers the foundations of statistical inference; and part three covers special topics. This edition has been updated to include problems, examples and figures. Its features include: over 350 worked examples; coverage of minimal sufficient statistics; and presentation of the theory of confidence intervals.
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"From the preface: 'There is a lot that is different about this second edition...we have tried to update the content...while striving to preserve the character and spirit of the first edition." (Mathematical Reviews Issue 2001g) "this book is fascinating" (Short Book Reviews - Publication of the Int. Statistical Institute, December 2001) "This text is for mathematics specialists..." (Short Book Reviews, Vol. 21, No. 3, December 2001)
An introduction to the field of statistics, which assumes some prior knowledge of mathematics, but not of probability or statistics. The text is organized into three parts: part one covers the core of the probability topic; part two covers the foundations of statistical inference; and part three covers special topics. This edition has been updated to include problems, examples and figures. Its features include: over 350 worked examples; coverage of minimal sufficient statistics; and presentation of the theory of confidence intervals.
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