JOURNAL ARTICLE

The length-biased weighted exponentiated inverted Weibull distribution

Aamir SaghirSadaf TazeemIshfaq Ahmad

Year: 2016 Journal:   Cogent Mathematics Vol: 3 (1)Pages: 1267299-1267299   Publisher: Taylor & Francis

Abstract

Length-Biased distributions are a special case of the more general form known as weighted distributions. We can exploit the conceptuality of Length-Biased distribution in the development of appropriate models for lifetime data. Its method is adjusting the original probability density function from real data and the expectation of those data. This modification can lead to correct conclusions of the models. Therefore, we introduced the Length-Biased version of the weighted Exponentiated inverted Weibull distribution in this paper. Various properties and the expressions for moments, coefficient of skewness, coefficient of kurtosis, moment generating function, hazard rate function, etc. are derived. The maximum likelihood estimates of the parameters of the proposed distribution are determined. The study results suggest that this distribution is an efficacious model in life time data analysis and other related fields.

Keywords:
Kurtosis Weibull distribution Mathematics Exponentiated Weibull distribution Skewness Probability density function Statistics Moment-generating function Distribution (mathematics) Moment (physics) Function (biology) Applied mathematics Statistical physics Mathematical analysis Physics

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7
Cited By
0.69
FWCI (Field Weighted Citation Impact)
58
Refs
0.80
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Is in top 1%
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Citation History

Topics

Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Insurance, Mortality, Demography, Risk Management
Social Sciences →  Social Sciences →  Demography
Probabilistic and Robust Engineering Design
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty

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