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Erschienen in: Annals of Data Science 4/2016

15.09.2016

Estimation of the Lomax Distribution in the Presence of Outliers

verfasst von: Mehdi Jabbari Nooghabi

Erschienen in: Annals of Data Science | Ausgabe 4/2016

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Abstract

In this paper, we find the moment, maximum likelihood, least squares and weighted least squares estimators of the parameters of Lomax distribution in the presence of outliers. Also, the mixture estimator of these four methods is derived. Further, we discuss about the efficiency of the estimators. Analysis of a simulated data set and an actual example from an insurance company has been presented for illustrative purposes.

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Metadaten
Titel
Estimation of the Lomax Distribution in the Presence of Outliers
verfasst von
Mehdi Jabbari Nooghabi
Publikationsdatum
15.09.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Annals of Data Science / Ausgabe 4/2016
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-016-0087-7

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