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Testing Equality of Nonparametric Functions in Two Partially Linear Models

Testing Equality of Nonparametric Functions in Two Partially Linear Models
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摘要 We propose the test statistic to check whether the nonpararnetric functions in two partially linear models are equality or not in this paper. We estimate the nonparametric function both in null hypothesis and the alternative by the local linear method, where we ignore the parametric components, and then estimate the parameters by the two stage method. The test statistic is derived, and it is shown to be asymptotically normal under the null hypothesis. We propose the test statistic to check whether the nonpararnetric functions in two partially linear models are equality or not in this paper. We estimate the nonparametric function both in null hypothesis and the alternative by the local linear method, where we ignore the parametric components, and then estimate the parameters by the two stage method. The test statistic is derived, and it is shown to be asymptotically normal under the null hypothesis.
出处 《Northeastern Mathematical Journal》 CSCD 2008年第6期521-533,共13页 东北数学(英文版)
基金 The NSF (10271049, 10571073) of China
关键词 partially linear model local linear estimation two stage method general likelihood ratio test partially linear model, local linear estimation, two stage method, general likelihood ratio test
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  • 1Peter Jong.A central limit theorem for generalized quadratic forms[J].Probability Theory and Related Fields.1987(2)

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