On Modified Extended Exponential Power Life Testing Distribution: Development, Properties, Characterizations and Application

Fiaz Ahmad Bhatti (), G. G. Hamedani (), Seyed Morteza Najibi () and Munir Ahmad ()
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Fiaz Ahmad Bhatti: National College of Business Administration and Economics
G. G. Hamedani: Marquette University
Seyed Morteza Najibi: Shiraz University
Munir Ahmad: National College of Business Administration and Economics

Annals of Data Science, 2019, vol. 6, issue 3, No 3, 413-439

Abstract: Abstract In this paper, a flexible modified extended exponential power life testing (MEEPLT) distribution is proposed. The MEEPLT distribution has increasing, decreasing and bathtub hazard rate function. The MEEPLT density is arc, left skewed, right-skewed and symmetrical shaped. The MEEPLT distribution is developed on the basis of the generalized Pearson differential equation. Some structural and mathematical properties including descriptive measures on the basis of quantiles, moments, order statistics and reliability measures are theoretically established. Characterizations of MEEPLT distribution are also studied via different techniques. Parameters of the MEEPLT distribution are estimated using maximum likelihood method. The simulation study for performance of the MLEs of the MEEPLT distribution is carried out. Goodness of fit of this distribution through different methods is studied.

Keywords: Compounding; Reliability; Characterizations; Maximum likelihood estimation (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s40745-018-0167-y

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