Probability and Statistical Inference:From Basic Principles to Advanced Models(Chapman & Hall/CRC Texts in Statistical Science)

建模、推理与数据分析:统计学第二课程

统计学史

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出  版 社
出版时间
2021年03月26日
装      帧
精装
ISBN
9781584889397
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页      码
608
开      本
6-1/8x9-1/4
语      种
英文
综合评分
5 分
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图书简介
This text presents key topics in mathematical statistics in a rigorous yet accessible manner. It covers aspects of probability, distribution theory, and random processes that are fundamental to a proper understanding of inference. The book also discusses the properties of estimators constructed from a random sample of ends, with sections on methods for estimating parameters in time series models and computationally intensive inferential techniques. The text challenges the more mathematically inclined students while providing an approachable explanation of advanced statistical concepts for students who struggle with existing texts.

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