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1. 什麼是貝氏方法，為什麼它不同於其他經典方法？2. 把貝氏方法用於所有類型的統計問題是否合適的？3. 利用貝氏方法得到的結果和利用其他方法所得到的結果有怎樣不同？最重要的是，筆者將提供各個科學研究領域中應用貝氏方法的例子的全面一覽。

Almost all the results available in the literature on multivariate t-distributions published in the last 50 years are now collected together in this comprehensive reference. Because these distributions are becoming more prominent in many applications, this book is a must for any serious researcher or consultant working in multivariate analysis and statistical distributions. Much of this material has never before appeared in book form. The first part of the book emphasizes theoretical results of a probabilistic nature. In the second part of the book, these are supplemented by a variety of statistical aspects. Various generalizations and applications are dealt with in the final chapters. The material on estimation and regression models is of special value for practitioners in statistics and economics. A comprehensive bibliography of over 350 references is included.

This monograph describes the central ideas and results of probabilistic extreme-value theory and related models, omitting excessive mathematical details and proofs. Kotz (George Washington University

Russian-English Dictionary of Statistical Terms and Expressions and Russian Reader in Statistics

Arthur Lyon Bowley, the founding father of modern statistics, was an important and colorful figure and a leader in cementing the foundations of statistical methodology, including survey methodology, a

In 1982, Springer published the English translation of the Russian book Estimation of Dependencies Based on Empirical Data which became the foundation of the statistical theory of learning and general

This book is devoted to an investigation of control problems which can be described by ordinary differential equations and be expressed in terms of game theoretical notions. In these terms, a strategy