Generalized inverse xgamma distribution: A non-monotone hazard rate model

11/03/2018
by   Harsh Tripathi, et al.
0

In this article, a generalized inverse xgamma distribution (GIXGD) has been introduced as the generalized version of the inverse xgamma distribution. The proposed model exhibits the pattern of non-monotone hazard rate and belongs to family of positively skewed models. The explicit expressions of some distributional properties, such as, moments, inverse moments, conditional moments, mean deviation, quantile function have been derived. The maximum likelihood estimation procedure has been used to estimate the unknown model parameters as well as survival characteristics of GIXGD. The practical applicability of the proposed model has been illustrated through a survival data of guinea pigs.

READ FULL TEXT
research
10/18/2018

The exponentiated xgammma distribution: Estimation and its application

This article aims to introduced a new lifetime distribution named as exp...
research
07/17/2014

Optimization Under Uncertainty Using the Generalized Inverse Distribution Function

A framework for robust optimization under uncertainty based on the use o...
research
08/30/2019

The extended xgamma distribution

This article aims to introduced a new distribution named as extended xga...
research
05/30/2019

A New Mixed Generalized Negative Binomial Distribution

In this article, a generalized version of Negative binomial-beta exponen...
research
07/27/2018

The Generalized Power Generalized Weibull Distribution: Properties and Applications

This paper introduces a new generalization of the power generalized Weib...
research
04/02/2020

Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data

A new class of survival frailty models based on the Generalized Inverse-...
research
11/16/2021

Inverse-Weighted Survival Games

Deep models trained through maximum likelihood have achieved state-of-th...

Please sign up or login with your details

Forgot password? Click here to reset