JOURNAL OF MULTIVARIATE ANALYSIS | 卷:78 |
Local power properties of kernel based goodness of fit tests | |
Article | |
Gouriéroux, C ; Tenreiro, C | |
关键词: goodness of fit tests; kernel density estimator; integrated square error; asymptotic power; local alternatives; | |
DOI : 10.1006/jmva.2000.1950 | |
来源: Elsevier | |
【 摘 要 】
If (X-i, i is an element of Z) is a strictly stationary process with marginal density function f, we are interested in testing the hypothesis H-0: {f =f(0)}, where f(0) is given. We consider different test statistics based on integrated quadratic forms measuring the proximity between f(n) a kernel estimator of f, and f(0), or between f(n) and its expected value computed under H-0. We Study the asymptotic local power properties of the testing procedures under local alternatives. This study generalizes to the multidimensional case in a context of dependence the corresponding one made by P. J. Bickel and M. Rosenblatt in 1973 (Ann. Statist. 1, 1071-1095). (C) 2001 Academic Press.
【 授权许可】
Free
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