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Annals of Data Science

Erschienen in:

08.06.2020

The Marshall–Olkin Inverted Nadarajah–Haghighi Distribution: Estimation and Applications

verfasst von: Gulnaz Raffiq, Iram Sajjad Dar, Muhammad Ahsan Ul Haq, Eduardo Ramos

Erschienen in: Annals of Data Science | Ausgabe 6/2022

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Abstract

We introduced and studied a new three-parameter lifetime distribution based on Marshall–Olkin and inverted Nadarajah–Haghighi distribution. In comparison with some existing lifetime models, the new distribution has very flexible shapes for hazard rate as well as for the probability density function. The related mathematical functions of the new distribution are presented. The maximum likelihood method is considered to obtain the parameter estimates of the MOINH distribution. A simulation study is presented to assess the behavior of the proposed estimator. The potentiality of the distribution is illustrated by fitting two real data sets.

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Titel: The Marshall–Olkin Inverted Nadarajah–Haghighi Distribution: Estimation and Applications
verfasst von: Gulnaz Raffiq
Iram Sajjad Dar
Muhammad Ahsan Ul Haq
Eduardo Ramos
Publikationsdatum: 08.06.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Annals of Data Science / Ausgabe 6/2022
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI: https://doi.org/10.1007/s40745-020-00297-7

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