A Course in Mathematical Statistics and Large Sample Theory
A Course in Mathematical Statistics and Large Sample Theory
复制标题
数理统计与大样本理论课程
DOI：
10.1007/978-1-4939-4032-5
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
V. Patrangenaru
中科院分区：
文献类型：
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作者：
R. Bhattacharya;Lizhen Lin;V. Patrangenaru
这本研究生水平的教科书主要是针对统计学，数学，科学和工程的研究生谁有一个本科课程的统计，在分析上师课程，并与测量理论概率的一些熟人。它提供了一个严格的介绍数理统计的核心。第一部分，这本书构成了一个学期的课程基本参数数理统计。第二部分涉及统计的大样本理论-参数和非参数，其内容可能会在一个学期内涵盖。第三部分简要介绍了从业人员和工作涉及统计方法的其他学科目前感兴趣的一些专题。
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics. Part I of this book constitutes a one-semester course on basic parametric mathematical statistics. Part II deals with the large sample theory of statistics - parametric and nonparametric, and its contents may be covered in one semester as well. Part III provides brief accounts of a number of topics of current interest for practitioners and other disciplines whose work involves statistical methods.