Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution

Periyasamypandian, Jeyadurga; Balamurali, S.

doi:10.1080/02664763.2022.2091526

Cited by 6 publications

(1 citation statement)

References 36 publications

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“…The Weibull distribution is more flexible than the exponential distribution in shape. Due to this characteristic, the Weibull distribution has applications in many areas such as business, economics and survival analysis (Murthy et al, 2004;McCool, 2012;Aslam et al, 2015;Dokur and Kurban, 2015), manufacturing industry (Sürücü et al, 2009;Arenas et al, 2010;Barman et al, 2023;Periyasamypandian and Balamurali, 2023) and medicine (Feronze et al, 2022;Ghazal and Radwan, 2022).…”

Section: Introductionmentioning

confidence: 99%

Üstellenmiş UEHL Dağılımı: Özellikler ve Uygulamalar

GENÇ,

ÖZBİLEN

2023

Recep Tayyip Erdoğan Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi

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In this paper, we propose a distribution for modeling data defined on a unit interval using an exponentiated transformation. The new distribution is based on the unit exponential half-logistic distribution, a member of proportional hazard models. Several measures of the statistical characterization of the distribution are discussed. The statistical inference of the parameters of the proposed distribution is studied by the maximum likelihood method. To explore the properties of the maximum likelihood estimates of the parameters, simulation studies are carried out under various scenarios. Furthermore, a real dataset is analyzed to demonstrate the performance of the distribution.

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