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Linear Rank Tests Derived from a Superpopulation Model
Author(s) -
Bouza Carlos
Publication year - 1995
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710370409
Subject(s) - statistics , mathematics , stratified sampling , simple random sample , statistic , rank (graph theory) , null hypothesis , sampling (signal processing) , population , sampling design , sample size determination , combinatorics , demography , computer science , filter (signal processing) , sociology , computer vision
Abstract A superpopulation model generates the probabilities of a Bernouilli random variable. The ranks of the involved variables are considered as survey weights. The distribution f each linear rank statistic is derived under the null hypothesis for the two sample problem and for the case k 2 when a simple random sampling or stratified sampling is used. The growth of a population of insects and the behavior of patients with imsomnia are studied using these procedures.