miracle 发表于 2025-3-23 13:45:22

Book 1981o give the reader a thorough intuitive understanding of the concepts underlying nonparametric procedures and a full appreciation of the properties and operating characteristics of those procedures covered. This book differs from most statistics books by including considerable philosophical and metho

胰脏 发表于 2025-3-23 15:21:26

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Blanch 发表于 2025-3-23 21:12:39

One-Sample and Paired-Sample Inferences Based on the Binomial Distribution,The word “distribution-free” is also frequently used in this context. We will not attempt to give an exact definition of “nonparametric” now or later, as it is only this general spirit, rather than any exact definition, which underlies the topics covered in this book.

OVER 发表于 2025-3-24 00:01:15

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纯朴 发表于 2025-3-24 03:02:27

https://doi.org/10.1007/978-3-662-10576-4 observation before ranking. The same fact is true also for the observations themselves, not merely for their ranks, and the idea underlying these tests can be applied to any function of the observations, not merely to a function of the signed ranks.

Relinquish 发表于 2025-3-24 10:09:15

One-Sample and Paired-Sample Inferences Based on the Method of Randomization, observation before ranking. The same fact is true also for the observations themselves, not merely for their ranks, and the idea underlying these tests can be applied to any function of the observations, not merely to a function of the signed ranks.

GORGE 发表于 2025-3-24 13:42:57

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织物 发表于 2025-3-24 16:09:21

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俗艳 发表于 2025-3-24 19:12:16

,Vervollständigung metrischer Räume,the statement “the observations are a random sample from a population with median 0 (or ξ.).” It certainly seems as though better use could be made of the observations by taking their magnitudes into account. However, since the sign test is optimum at level a for this inclusive set of null distribut

厚颜无耻 发表于 2025-3-25 02:44:36

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查看完整版本: Titlebook: Concepts of Nonparametric Theory; John W. Pratt,Jean D. Gibbons Book 1981 Spring-Verlag New York Inc. 1981 Mathematica.Parameterfreier Tes