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Published in: Annals of Data Science 1/2020

20-07-2019

A Simple Extension of Burr-III Distribution and Its Advantages over Existing Ones in Modelling Failure Time Data

Authors: Subrata Chakraborty, Laba Handique, Rana Muhammad Usman

Published in: Annals of Data Science | Issue 1/2020

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Abstract

In this article we consider a four parameter extended Burr-III distribution and study some distributional, reliability properties and parameter estimation. Performance of estimation technique used for model parameters estimation is numerically investigated employing Monte Carlo simulation with different sample sizes and parameter values. Efficacy of this distribution in modelling one failure time data is evaluated in comparison to some existing extensions of Bur-III distribution employing well known goodness of fit tests and model selection criteria. Our findings show the proposed distribution as the best among the all the other extensions of Burr-III distribution considered in this study.

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Metadata
Title
A Simple Extension of Burr-III Distribution and Its Advantages over Existing Ones in Modelling Failure Time Data
Authors
Subrata Chakraborty
Laba Handique
Rana Muhammad Usman
Publication date
20-07-2019
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 1/2020
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-019-00227-2

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