NDLI: The Lomax regression model with residual analysis: an application to insurance data.

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The Lomax regression model with residual analysis: an application to insurance data.

Content Provider	Europe PMC
Author	Altun, Emrah
Copyright Year	2020
Abstract	ABSTRACT In this paper, we introduce a new regression model, called Lomax regression model, as an alternative to the gamma regression model. The maximum-likelihood method is used to estimate the unknown parameters of the proposed model, and the finite sample performance of the maximum-likelihood estimation method is evaluated by means of the Monte-Carlo simulation study. The randomized quantile residuals are used to check the adequacy of the fitted model. The insurance data are analyzed to demonstrate the usefulness of the proposed regression model against the gamma regression model.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC9041670&blobtype=pdf
Page Count	10
ISSN	02664763
Volume Number	48
DOI	10.1080/02664763.2020.1834515
PubMed Central reference number	PMC9041670
Issue Number	13-15
PubMed reference number	35707103
Journal	Journal of Applied Statistics [J Appl Stat]
e-ISSN	13600532
Language	English
Publisher	Taylor & Francis
Publisher Date	2020-10-19
Access Restriction	Open
Rights License	© 2020 Informa UK Limited, trading as Taylor & Francis Group
Subject Keyword	Lomax distribution heteroscedasticity maximum likelihood Gamma regression insurance loss 62E15
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty

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