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  • For some variants of regression models, including partial, measurement error or error-in-variables, latent effects, semi-parametric and otherwise corrupted linear models, the classical parametric tests generally do not perform well. Various modifications and generalizations considered extensively in the literature rests on stringent regularity assumptions which are not likely to be tenable in many applications. However, in such non-standard cases, rank based tests can be adapted better, and further, incorporation of rank analysis of covariance tools enhance their power-efficiency. Numerical studies and a real data illustration show the superiority of rank based inference in such corrupted linear models.
  • For some variants of regression models, including partial, measurement error or error-in-variables, latent effects, semi-parametric and otherwise corrupted linear models, the classical parametric tests generally do not perform well. Various modifications and generalizations considered extensively in the literature rests on stringent regularity assumptions which are not likely to be tenable in many applications. However, in such non-standard cases, rank based tests can be adapted better, and further, incorporation of rank analysis of covariance tools enhance their power-efficiency. Numerical studies and a real data illustration show the superiority of rank based inference in such corrupted linear models. (en)
Title
  • Rank tests for corrupted linear models
  • Rank tests for corrupted linear models (en)
skos:prefLabel
  • Rank tests for corrupted linear models
  • Rank tests for corrupted linear models (en)
skos:notation
  • RIV/46747885:24510/13:#0000948!RIV14-GA0-24510___
http://linked.open...avai/riv/aktivita
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  • P(GAP201/12/0083), P(GAP209/10/2045)
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  • 1
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  • 101461
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  • RIV/46747885:24510/13:#0000948
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  • Latent variable; measurement error; mixed regression model; partially linear model; rank analysis of covariance; rank analysis of variance; rank test of linear hypothesis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • IN - Indická republika
http://linked.open...ontrolniKodProRIV
  • [47A01BF0CCD3]
http://linked.open...i/riv/nazevZdroje
  • Journal of the Indian Statistical Association
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http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 57
http://linked.open...iv/tvurceVysledku
  • Jurečková, Jana
  • Picek, Jan
  • Sen, Pranab Kumar
issn
  • 0537-2585
number of pages
http://localhost/t...ganizacniJednotka
  • 24510
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