The probability integral transformation for testing goodness of fit and combining independent tests of significance

被引：81
作者：
Pearson, ES
机构：
来源：
BIOMETRIKA | 1938年 / 30卷
关键词：
D O I：
10.2307/2332229
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
引用
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页码：134 / 148
页数：15
相关论文
共 10 条
[1]  
Fisher RA., 1925, STAT METHODS RES WOR
[2]  
Neyman, 1936, STATISTICAL RES MEMO, V1, P1
[3]   The testing of statistical hypotheses in relation to probabilities a priori. [J].
Neyman, J ;
Pearson, ES .
PROCEEDINGS OF THE CAMBRIDGE PHILOSOPHICAL SOCIETY, 1933, 29 :492-510
[4]   On the problem of the most efficient tests of statistical hypotheses [J].
Neyman, J .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-CONTAINING PAPERS OF A MATHEMATICAL OR PHYSICAL CHARACTER, 1933, 231 :289-337
[5]  
Neyman J, 1937, SKAND AKTUARIETIDSKR, V20, P149
[6]  
NEYMAN J, 1938, IN PRESS STAT RES ME, V2
[7]   On a method of determining whether a sample of size n supposed to have been drawn from a parent population having a known probability integral has probably been drawn at random. [J].
Pearson, K .
BIOMETRIKA, 1933, 25 :379-410
[8]   On a new method of determining "goodness of fit." [J].
Pearson, K .
BIOMETRIKA, 1934, 26 :425-442
[9]   Tables of Pearson's Type III function [J].
Salvosa, LR .
ANNALS OF MATHEMATICAL STATISTICS, 1930, 1 (01) :191-A125
[10]  
Sukhatme P. V., 1935, P INDIAN ACAD SCI A, V2, P584
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