Goodness-of-fit tests in semiparametric transformation models-Reference-Cited by-同舟云学术

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Goodness-of-fit tests in semiparametric transformation models

Published:2015-05-12 Issue:2 Volume:25 Page:291-308
ISSN:1133-0686
Container-title:TEST
language:en
Short-container-title:TEST

Author:

Colling Benjamin,Van Keilegom Ingrid

Funder

IAP research network grant of the Belgian government

European Research Council (FP7/2007-2013)

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s11749-015-0448-0.pdf

Reference26 articles.

1. Akritas MG, Van Keilegom I (2001) Nonparametric estimation of the residual distribution. Scand J Stat 28:549–568

2. Bellver C (1987) Influence of particulate pollution on the positions of neutral points in the sky in Seville (Spain). Atmos Environ 21:699–702

3. Bickel PJ, Doksum K (1981) An analysis of transformations revisited. J Am Stat Assoc 76:296–311

4. Box GEP, Cox DR (1964) An analysis of transformations. J R Stat Soc 26:211–252

5. Carroll RJ, Ruppert D (1988) Transformation and weighting in regression. Chapman and Hall, New York

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4. Tests for validity of the semiparametric heteroskedastic transformation model;Computational Statistics & Data Analysis;2020-04

5. Estimation of a semiparametric transformation model: A novel approach based on least squares minimization;Electronic Journal of Statistics;2020-01-01

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