Robust Wald-type tests in GLM with random design based on minimum density power divergence estimators-Reference-Cited by-同舟云学术

Robust Wald-type tests in GLM with random design based on minimum density power divergence estimators

Published:2020-08-05 Issue:3 Volume:30 Page:973-1005
ISSN:1618-2510
Container-title:Statistical Methods & Applications
language:en
Short-container-title:Stat Methods Appl

Author:

Basu Ayanendranath^ORCID,Ghosh Abhik^ORCID,Mandal Abhijit^ORCID,Martin Nirian^ORCID,Pardo Leandro^ORCID

Funder

Ministerio de Ciencia, Innovación y Universidades

Department of Science and Technology, Government of India

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s10260-020-00544-4.pdf

Reference25 articles.

1. Agresti A (2018) An introduction to categorical data analysis. Wiley, New York

2. Aeberhard WH, Cantoni E, Heritier S (2014) Robust inference in the negative binomial regression model with an application to falls data. Biometrics 70:920–931

3. Anderson TW (2003) An introduction to multivariate statistical analysis. Wiley, New York

4. Basu A, Ghosh A, Mandal A, Martin A, Pardo L (2016) A Wald-type test statistic for testing linear hypothesis in logistic regression models based on minimum density power divergence estimator. Electron J Stat 11(2):2741–2772

5. Bianco AM, Boent G, Rodrigues IM (2013) Robust tests in generalized linear models with missing responses. Comput Stat Data Anal 65:80–97

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