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A course in mathematical statistics and large sample theory

机译:数理统计和大样本理论课程

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摘要

Researchers, mathematicians, and statisticians at the University of Arizona, the University of Notre Dame, and Florida State University are the authors of this book. It is clearly the result of the long-term collection of rich educational material containing both traditional and recent topics. It deals with advanced statistical theory with a special focus on statistical inference and large sample theory, aiming to cover the material for a modern two-semester graduate course in mathematical statistics. Although the area of mathematical statistics has a very long history in publication and many fine books exist, a new textbook that brings a fresh point of view to a comprehensive graduate course on the subject is always welcome. In this era of big data and data science, where researchers are focused on fast and efficient, usually black-box algorithms, such authoring efforts, aiming to promote the role of theoretical statistics in data analysis and inference, are praiseworthy.
机译:本书的作者是亚利桑那大学,圣母大学和佛罗里达州立大学的研究人员,数学家和统计学家。显然,这是长期收集既有传统主题又有近期主题的丰富教育材料的结果。它涉及高级统计理论,特别侧重于统计推论和大样本理论,旨在涵盖现代两学期数学统计学研究生课程的材料。尽管数理统计领域有很长的出版历史,并且存在许多精美的书籍,但始终欢迎新的教科书为该学科的综合研究生课程带来新的观点。在这个大数据和数据科学时代,研究人员专注于快速而高效的通常是黑盒算法,这种旨在促进理论统计在数据分析和推理中的作用的创作努力值得称赞。

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