Author(s):
1. I. Elbatal:
Department of Mathematics and Statistics-College of Science-Imam Mohammad Ibn Saud Islamic University (IMSIU)-Saudi Arabia
Abstract:
In this work, a new extension of the Inverse Rayleigh model is proposed and studied. We derive some of its fundamental properties. We assess the performance of the maximum likelihood estimators via a simulation study. The importance of the new model is shown via two applications to real data sets. The new model is better fit than other important competitive models based on two real data sets.
Page(s):
775-787
Published:
Journal: Pakistan Journal of Statistics and Operation Research, Volume: 16, Issue: 4, Year: 2020
Keywords:
Simulation
,
Inverse Rayleigh Distribution
,
Generating Function
,
Odd LogLogisticG Family
References:
References are not available for this document.
Citations
Citations are not available for this document.