| 书目名称 | Permutation Tests | | 副标题 | A Practical Guide to | | 编辑 | Phillip Good | | 视频video | | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | Permutation tests permit us to choose the test statistic best suited to the task at hand. This freedom of choice opens up a thousand practical applications, including many which are beyond the reach of conventional parametric sta tistics. Flexible, robust in the face of missing data and violations of assump tions, the permutation test is among the most powerful of statistical proce dures. Through sample size reduction, permutation tests can reduce the costs of experiments and surveys. This text on the application of permutation tests in biology, medicine, science, and engineering may be used as a step-by-step self-guiding reference manual by research workers and as an intermediate text for undergraduates and graduates in statistics and the applied sciences with a first course in statistics and probability under their belts. Research workers in the applied sciences are advised to read through Chapters 1 and 2 once quickly before proceeding to Chapters 3 through 8 which cover the principal applications they are likely to encounter in practice. Chapter 9 is a must for the practitioner, with advice for coping with real life emergencies such as missing or censored data, after-the-fa | | 出版日期 | Textbook 19941st edition | | 关键词 | biology; cluster; clustering; experiment; medicine; mutation; permutation tests | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-2346-5 | | isbn_ebook | 978-1-4757-2346-5Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer Science+Business Media New York 1994 |
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发表于 2025-3-21 17:49:08
