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 ...
Read More
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.
Read Less
