Discriminating between the Lognormal and Weibull Distributions under Progressive Censoring

Coşkun Kuş; Ahmet Pekgör; İsmail Kınacı

doi:10.17776/csj.470148

EN TR

Discriminating between the Lognormal and Weibull Distributions under Progressive Censoring

Abstract

In this paper, the ratio of maximized likelihood and Minimized Kullback-Leibler Divergence methods are discussed for discrimination between log-normal and Weibull distributions. The progressive Type-II right censored sample is considered in the study. The probability of correct selections is simulated and compared to investigate the performance of the procedures for different censoring schemes and parameter settings.

Keywords

Discrimination,Log-normal distribution,Power analysis,Simulation,Progressive type-II right censoring

References

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Coşkun Kuş ^*
0000-0002-7176-0176
Türkiye

Ahmet Pekgör
Türkiye

İsmail Kınacı
0000-0002-0992-4133
Türkiye

Publication Date

June 30, 2019

Submission Date

October 12, 2018

Acceptance Date

December 19, 2018

Published in Issue

Year 2019 Volume: 40 Number: 2

DOI

https://doi.org/10.17776/csj.470148

IZ

https://izlik.org/JA55BU23AH

Cite

RIS / Bibtex

APA

Kuş, C., Pekgör, A., & Kınacı, İ. (2019). Discriminating between the Lognormal and Weibull Distributions under Progressive Censoring. Cumhuriyet Science Journal, 40(2), 493-504. https://doi.org/10.17776/csj.470148

Discriminating between the Lognormal and Weibull Distributions under Progressive Censoring

Discriminating between the Lognormal and Weibull Distributions under Progressive Censoring

Abstract

Keywords

İlerleyen Tür Sansür Altında Lognormal ve Weibull Dağılımlarının Ayrımı

Öz

Anahtar Kelimeler

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

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