具体描述
A comprehensive, self-contained, yet easily accessible presentation of basic concepts, examining measure-theoretic foundations as well as analytical tools. Covers classical as well as modern methods, with emphasis on the strong interrelationship between probability theory and mathematical analysis, and with special stress on the applications to statistics and analysis. Includes recent developments, numerous examples and remarks, and various end-of-chapter problems. Notes and comments at the end of each chapter provide valuable references to sources and to additional reading material.
作者简介
目录信息
The Laws of Large Numbers
Distribution and Characteristic
Some Further results on Characteristic functions
The Central Limit Theorem
Dependence
Random Variables Taking Values in a Normed Space
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读后感
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用户评价
借着Q考读了这书，后面的篇章还没看。非常喜欢作者把characteristic function贯穿全书的思想，内容很全很丰富，文笔也好。最推荐的概率教材。不含测度。
评分借着Q考读了这书，后面的篇章还没看。非常喜欢作者把characteristic function贯穿全书的思想，内容很全很丰富，文笔也好。最推荐的概率教材。不含测度。
评分借着Q考读了这书，后面的篇章还没看。非常喜欢作者把characteristic function贯穿全书的思想，内容很全很丰富，文笔也好。最推荐的概率教材。不含测度。
评分借着Q考读了这书，后面的篇章还没看。非常喜欢作者把characteristic function贯穿全书的思想，内容很全很丰富，文笔也好。最推荐的概率教材。不含测度。
评分借着Q考读了这书，后面的篇章还没看。非常喜欢作者把characteristic function贯穿全书的思想，内容很全很丰富，文笔也好。最推荐的概率教材。不含测度。
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