Accessing the Power of Tests Based on Set-Indexed Partial Sums of Multivariate Regression Residuals

The intention of the present paper is to establish an approximation method to the limiting power functions of tests conducted based on Kolmogorov-Smirnov and Cramér-von Mises functionals of set-indexed partial sums of multivariate regression residuals. The limiting powers appear as vectorial boundar...

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Main Author: Wayan Somayasa
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2018/2071861
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author Wayan Somayasa
author_facet Wayan Somayasa
author_sort Wayan Somayasa
collection DOAJ
description The intention of the present paper is to establish an approximation method to the limiting power functions of tests conducted based on Kolmogorov-Smirnov and Cramér-von Mises functionals of set-indexed partial sums of multivariate regression residuals. The limiting powers appear as vectorial boundary crossing probabilities. Their upper and lower bounds are derived by extending some existing results for shifted univariate Gaussian process documented in the literatures. The application of multivariate Cameron-Martin translation formula on the space of high dimensional set-indexed continuous functions is demonstrated. The rate of decay of the power function to a presigned value α is also studied. Our consideration is mainly for the trend plus signal model including multivariate set-indexed Brownian sheet and pillow. The simulation shows that the approach is useful for analyzing the performance of the test.
format Article
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institution Kabale University
issn 1110-757X
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publishDate 2018-01-01
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series Journal of Applied Mathematics
spelling doaj-art-c81507fb44244c7094c12b64dd45ae982025-02-03T01:30:55ZengWileyJournal of Applied Mathematics1110-757X1687-00422018-01-01201810.1155/2018/20718612071861Accessing the Power of Tests Based on Set-Indexed Partial Sums of Multivariate Regression ResidualsWayan Somayasa0Department of Mathematics, Halu Oleo University, IndonesiaThe intention of the present paper is to establish an approximation method to the limiting power functions of tests conducted based on Kolmogorov-Smirnov and Cramér-von Mises functionals of set-indexed partial sums of multivariate regression residuals. The limiting powers appear as vectorial boundary crossing probabilities. Their upper and lower bounds are derived by extending some existing results for shifted univariate Gaussian process documented in the literatures. The application of multivariate Cameron-Martin translation formula on the space of high dimensional set-indexed continuous functions is demonstrated. The rate of decay of the power function to a presigned value α is also studied. Our consideration is mainly for the trend plus signal model including multivariate set-indexed Brownian sheet and pillow. The simulation shows that the approach is useful for analyzing the performance of the test.http://dx.doi.org/10.1155/2018/2071861
spellingShingle Wayan Somayasa
Accessing the Power of Tests Based on Set-Indexed Partial Sums of Multivariate Regression Residuals
Journal of Applied Mathematics
title Accessing the Power of Tests Based on Set-Indexed Partial Sums of Multivariate Regression Residuals
title_full Accessing the Power of Tests Based on Set-Indexed Partial Sums of Multivariate Regression Residuals
title_fullStr Accessing the Power of Tests Based on Set-Indexed Partial Sums of Multivariate Regression Residuals
title_full_unstemmed Accessing the Power of Tests Based on Set-Indexed Partial Sums of Multivariate Regression Residuals
title_short Accessing the Power of Tests Based on Set-Indexed Partial Sums of Multivariate Regression Residuals
title_sort accessing the power of tests based on set indexed partial sums of multivariate regression residuals
url http://dx.doi.org/10.1155/2018/2071861
work_keys_str_mv AT wayansomayasa accessingthepoweroftestsbasedonsetindexedpartialsumsofmultivariateregressionresiduals