composite quantile estimation in partial functional linear regression model with dependent errors (Metrika Inc)
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Metrika Inc
composite quantile estimation in partial functional linear regression model with dependent errors
Composite Quantile Estimation In Partial Functional Linear Regression Model With Dependent Errors, supplied by Metrika Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/composite+quantile+estimation+in+partial+functional+linear+regression+model+with+dependent+errors/empirical+likelihood+inference+for+semi+parametric+varying+coefficient+partially+linear+ev+models/10__1007_slash_s11424___024___3169___1-198-9-21
Average 90 stars, based on 1 article reviews
Composite Quantile Estimation In Partial Functional Linear Regression Model With Dependent Errors, supplied by Metrika Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/composite+quantile+estimation+in+partial+functional+linear+regression+model+with+dependent+errors/empirical+likelihood+inference+for+semi+parametric+varying+coefficient+partially+linear+ev+models/10__1007_slash_s11424___024___3169___1-198-9-21
Average 90 stars, based on 1 article reviews
composite quantile estimation in partial functional linear regression model with dependent errors - by Bioz Stars,
2026-10
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Functional Assay:Article Title: A Nonparametric Model Checking Test for Functional Linear Composite Quantile Regression Models Article Snippet: Abstract This paper is focused on the goodness-of-fit test of the functional linear composite quantile regression model. A nonparametric test is proposed by using the orthogonality of the residual and its conditional expectation under the null model.. The proposed test statistic has an asymptotic standard normal distribution under the null hypothesis, and tends to infinity in probability under the alternative hypothesis, which implies the consistency of the test.. Furthermore, it is proved that the test statistic converges to a normal distribution with nonzero mean under a local alternative hypothesis. |