Abstract

A new distribution called the Lindley-Burr XII (LBXII) distribution is proposed and studied. Some structural properties of the new distribution including moments, conditional moments, distribution of the order statistics and R´enyi entropy are derived. Maximum likelihood estimation technique is used to estimate the model parameters. A simulation study to examine the bias and mean square error of the maximum likelihood estimators is presented and applications to real data sets in order to illustrate the usefulness of the new distribution are given.

Highlights

  • A New Lindley-Burr XII DistributionReceived: October 27, 2020 Accepted: May 26, 2021 Online Published: June 1, 2021 doi:10.5539/ijsp.v10n4p33

  • There are several generalizations of the Lindley distribution that are considered to be useful life models, and are suitable for modeling data with different types of hazard rate functions including increasing, decreasing, bathtub and unimodal. (Lindley, 1958) used a mixture of exponential and length-biased exponential distributions to illustrate the difference between fiducial and posterior distributions

  • We note from equation (7) that the hazard rate function of the Lindley-Burr XII (LBXII) distribution is given by hG(x) = hGL (x) + hGB (x), (9)

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Summary

A New Lindley-Burr XII Distribution

Received: October 27, 2020 Accepted: May 26, 2021 Online Published: June 1, 2021 doi:10.5539/ijsp.v10n4p33

Introduction
Sub-models of LBXII Distribution
Hazard Rate and Quantile Functions
Moments
Mean Deviations
Order Statistics
Renyi Entropy
Maximum Likelihood Estimates
Monte Carlo Simulations
Applications
Concluding Remarks
Full Text
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