Abstract

A new four-parameter distribution called the beta Lindley-geometric distribution is proposed. The hazard rate function of the new model can be constant, decreasing, increasing, upside down bathtub or bathtub failure rate shapes. Various structural properties including of the new distribution are derived. The estimation of the model parameters is performed by maximum likelihood method. The usefulness of the new distribution is illustrated using a real data set.

Highlights

  • The Lindley distribution (Lindley, 1958) is important for studying stress-strength reliability modeling

  • The Lindley distribution specified by the probability density function (PDF)

  • We propose a new extension of the LGc distribution of Zakerzadeh and Mahmoudi (2012) by taking G(x; φ) in (3) to the cumulative distribution function (CDF) of the LGc distribution

Read more

Summary

Introduction

The Lindley distribution (Lindley, 1958) is important for studying stress-strength reliability modeling. A new extension of the Lindley distribution, called extended Lindley distribution, which offers a more flexible model for lifetime data is introduced by Bakouch et al (2012). Zakerzadeh and Mahmoudi (2012) introduced the Lindley-geometric (LGc) distribution with CDF and PDF given by FLG (x, θ, p). A general class generated from the logit of a beta random variable is introduced by Eugene et al (2002) and it is called the beta-G (B-G) family with the CDF. The two classes given in (iv) and (v) are called, respectively, the frailty parameter and resilience parameter families with underlying distribution G(x; φ) (Marshall and Olkin, 2007). The new model is referred to as the beta Lindley geometric (BLGc) distribution.

The BLGc distribution
Moments
Mean deviation
Bonferroni and Lorenz curves
Estimation and simulation
Application
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call