| 書目名稱 | Theory of Nonparametric Tests | | 編輯 | Thorsten Dickhaus | | 視頻video | http://file.papertrans.cn/924/923929/923929.mp4 | | 概述 | Provides a cohesive and self-contained introduction to nonparametric statistical testing.Includes exercises and solution tips.Offers a unified perspective on a variety of nonparametric test problems.D | | 圖書封面 |  | | 描述 | .This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses.. | | 出版日期 | Textbook 2018 | | 關(guān)鍵詞 | Statistical functional; Substitution principle; Resampling; Empirical measure; Rank statistics; Rank test | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-76315-6 | | isbn_softcover | 978-3-030-09462-1 | | isbn_ebook | 978-3-319-76315-6 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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