Forehead-Lift 发表于 2025-3-25 06:34:01
https://doi.org/10.1007/978-3-642-48850-4Biometrie; Bootstrap; Bootstrapping; Estimator; Generalized linear model; Jackknife; Monte Carlo Test; ProbAnnotate 发表于 2025-3-25 11:27:43
978-3-540-55003-7Springer-Verlag Berlin Heidelberg 1992Intellectual 发表于 2025-3-25 12:51:28
0075-8442 0. Thepurpose of the book is to in-form about recent research in the area of bootstrap, jack-knife and Monte Carlo Tests. Addressing the novice and theexpert it covers as well theoretical as practical aspects ofthesestatistical techniques. Potential users in differentdisciplines as biometry, epidemi一回合 发表于 2025-3-25 17:55:34
http://reply.papertrans.cn/19/1899/189804/189804_24.pngConscientious 发表于 2025-3-25 20:21:36
City System Based on the Rank-Size Rule statistic to be tested for ..: . = ... To test this hypothesis Beran proposes two alternative approaches. The first one which is called the . approximates the exact critical region of the test by the percentiles of its bootstrap distribution, where the unknown distribution of the sample is replaced by its empirical distribution.constitutional 发表于 2025-3-26 02:46:05
City System Based on the Rank-Size Rulesed on permutations of the data, may be conveniently used to combine the k test statistics, when they are characterized by an unknown dependence structure. These techniques have recently been interpreted (Hinkley (1989), Pesarin (1989) and Romano (1989)) as conditional bootstrap methods.ear-canal 发表于 2025-3-26 06:33:09
http://reply.papertrans.cn/19/1899/189804/189804_27.pngrecede 发表于 2025-3-26 09:18:05
Principles for Generating Non-Uniform Random Numbers-random numbers in the interval [0,1). The constants ., the modulus, ., the multiplicator, ., the increment, and .., the starting number are suitably chosen non-negative integers. Three choices of ., . and . are common on most computers:分期付款 发表于 2025-3-26 13:27:52
Nonparametric Bootstrap Tests: Some Applications statistic to be tested for ..: . = ... To test this hypothesis Beran proposes two alternative approaches. The first one which is called the . approximates the exact critical region of the test by the percentiles of its bootstrap distribution, where the unknown distribution of the sample is replaced by its empirical distribution.绑架 发表于 2025-3-26 18:39:23
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