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

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书目名称Concepts of Nonparametric Theory影响因子(影响力)




书目名称Concepts of Nonparametric Theory影响因子(影响力)学科排名




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书目名称Concepts of Nonparametric Theory网络公开度学科排名




书目名称Concepts of Nonparametric Theory被引频次




书目名称Concepts of Nonparametric Theory被引频次学科排名




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One-Sample and Paired-Sample Inferences Based on the Binomial Distribution,ating process. The inferences may concern any aspect of a suitably defined population (or process) from which observations are obtained, for example, the form or shape of the probability distribution of some variable in the population, or any definable properties, characteristics or parameters of th

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One-Sample and Paired-Sample Inferences Based on Signed Ranks,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

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One-Sample and Paired-Sample Inferences Based on the Method of Randomization,ations are equally likely under the null hypothesis of distributions symmetric about zero, or about some arbitrary point which is subtracted from each observation before ranking. The same fact is true also for the observations themselves, not merely for their ranks, and the idea underlying these tes

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Asymptotic Relative Efficiency,ts is needed, especially as regards their performance or operating characteristics. For instance, a comparison of the power functions of various tests of the same (or essentially the same) hypotheses would be of interest. It is frequently more convenient, and also more suggestive, to use a measure o

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