书目名称 | Large Sample Techniques for Statistics |
编辑 | Jiming Jiang |
视频video | http://file.papertrans.cn/582/581349/581349.mp4 |
概述 | Focuses on analytical skills as well as applying formulae.Provides motivations and intuition so that readers can apply concepts.Second Edition implements challenges of contemporary data science |
丛书名称 | Springer Texts in Statistics |
图书封面 |  |
描述 | This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, .Large Sample Techniques for Statistics. begins with fundamental techniques, and connects theory and applications in engaging ways..The first five chapters review some of the basic techniques, such as the fundamental epsilon-delta arguments, Taylor expansion, different types of convergence, and inequalities. The next five chapters discuss limit theorems in specific situations of observational data. Each of the first ten chapters contains at least one section of case study. The last six chapters are devoted to special areas of applications. This new edition introduces a final chapter dedicated to random matrix theory, as well as expanded treatment of inequalities and mixed effects models. .The book‘s case studies and applications-oriented chapters demonstrate how to use methods developed from large sample theory in real world situations. The book is supplemented by a large number of exercises, giving readers opportunity to practice what they have learned. Appendices provide context for matrix algebra and mathematical statistics. |
出版日期 | Textbook 2022Latest edition |
关键词 | Approximations; Asymptotic Theory; Large Sample Theory; Limit Theorems; Parametric statistics; Random var |
版次 | 2 |
doi | https://doi.org/10.1007/978-3-030-91695-4 |
isbn_softcover | 978-3-030-91697-8 |
isbn_ebook | 978-3-030-91695-4Series ISSN 1431-875X Series E-ISSN 2197-4136 |
issn_series | 1431-875X |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |