| THE GOODNESS-OF-FIT TEST BY USING MULTIVARIATE RANDOM WEIGHTING METHOD |
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| 作者姓名： | ZHANG Dixin |
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| 作者单位： | ZHANG Dixin(Guizhou College of Finance and Economics，Guiyang 550001，China)CHENG Ping(Institute of Systems Science，Academia Sinica，Beijing 100080，China) |
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| 摘 要： | ＴＨＥＧＯＯＤＮＥＳＳ－ＯＦ－ＦＩＴＴＥＳＴＢＹＵＳＩＮＧＭＵＬＴＩＶＡＲＩＡＴＥＲＡＮＤＯＭＷＥＩＧＨＴＩＮＧ ＭＥＴＨＯＤＴＨＥＧＯＯＤＮＥＳＳ－ＯＦ－ＦＩＴＴＥＳＴＢＹＵＳＩＮＧＭＵＬＴＩＶＡＲＩＡＴＥＲＡＮＤＯＭＷＥＩＧＨＴＩＮＧＭＥＴＨＯＤ...
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THE GOODNESS-OF-FIT TEST BY USING MULTIVARIATE RANDOM WEIGHTING METHOD |
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| ZHANG Dixin.THE GOODNESS-OF-FIT TEST BY USING MULTIVARIATE RANDOM WEIGHTING METHOD[J].Journal of Systems Science and Complexity,1995(4). |
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| Authors: | ZHANG Dixin |
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| Abstract: | In this paper we set up the asymptotic theory of multivariate random weighting empirical process,obtain its conditional central limit theorem.Applying these results and using Kolmogorov Smirnov statistics, we get the goodness-of-fit test for the multivariate unknown distribution function F(x).The multivariate Smirnov Cramer Von Mises test is constructed by using the random weighting method. |
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| Keywords: | Goodness-of-fit test multivariate random weighting asymptotic theory |
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