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For many years I have taught an advanced statistical inference course for master’s students using the text of Casella and Berger (2002). The book gives a comprehensive treatment of the core topics at a level that avoids measure theory while remaining mathematically precise, but it does not cover the increasingly important concept of copulas. The present notes are intended to complement the book by adding two sections on copulas in a style that is as close as possible to that of the original text. Numbering of definitions, theorems, examples, and exercises is consistent with Casella and Berger (2002), but the material may also be read as a brief, stand-alone introduction to copula theory.

生成讲解博客的中文版本

生成AI智能校验的中文版本