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GOODNESS-OF-FIT TEST ON TWO SAMPLES

GOODNESS-OF-FIT TEST ON TWO SAMPLES
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摘要 In this paper, a new statistics for testing two samples coming from the same population is derived from a simple linear model with an artificial parameter. Its limit distribution is a chi-squared distribution with 2 degrees of freedom under null hypothesis and the limit distribution is a noncentral chi-squared distribution with 2 degrees of freedom under certain sequence of alternative hypothesis. Finally, we make power comparison with other tests on two samples, especially, with Smirnov statistics. In this paper, a new statistics for testing two samples coming from the same population is derived from a simple linear model with an artificial parameter. Its limit distribution is a chi-squared distribution with 2 degrees of freedom under null hypothesis and the limit distribution is a noncentral chi-squared distribution with 2 degrees of freedom under certain sequence of alternative hypothesis. Finally, we make power comparison with other tests on two samples, especially, with Smirnov statistics.
出处 《Systems Science and Mathematical Sciences》 SCIE EI CSCD 2000年第2期113-120,共8页
基金 This project is supported by Beijing Natural Science Foundation by Chinese Natural ScienceFoundation.
关键词 GOODNESS-OF-FIT test SIMPLE linear model artificial PARAMETER two-sample problem. Goodness-of-fit test, simple linear model, artificial parameter, two-sample problem.
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