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arXiv · 1810.08516

The exponentiated xgammma distribution: Estimation and its application

Abhimanyu Singh Yadav·Mahendra Saha·Harsh Tripathi·Sumit Kumar
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Abstract

This article aims to introduced a new lifetime distribution named as exponentiated xgamma distribution (EXGD). The new generalization obtained from xgamma distribution, a special finite mixture of exponential and gamma distributions. The proposed model is very flexible and positively skewed. Different statistical properties of the proposed model, viz., reliability characteristics, moments, generating function, mean deviation, quantile function, conditional moments, order statistics, reliability curves and indices and random variate generation etc. have been derived. The estimation of the of the survival and hazard rate functions of the EXGD has been approached by different methods estimation, viz., moment estimate (ME),maximum likelihood estimate (MLE), ordinary least square and weighted least square estimates (LSE and WLSE), Cram\`er-von-Mises estimate (CME) and maximum product spacing estimate (MPSE). At last, one medical data set has been used to illustrate the applicability of the proposed model in real life scenario.

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Abhimanyu Singh Yadav, Mahendra Saha, Harsh Tripathi, Sumit Kumar. 2018-10-18. The exponentiated xgammma distribution: Estimation and its application. https://arxiv.org/abs/1810.08516

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