Abstract
A new generalization of the Topp-Leone
Lomax distribution was developed. The new distribution is a half logistic
transformation of the Topp-Leone Lomax distribution. Some important statistical
properties of this new distribution were explored that include raw moments,
moment generating function, probability weighted moments, distribution of order
statistics, R´enyi entropy, and Shannon entropy. The maximum likelihood
estimation (mle) technique was used to estimate the unknown model parameters
estimates. Consistency of the mles was assessed via Monte Carlo simulation
studies. The mle technique produced consistent estimates based on the
simulation studies results and applications to real datasets as demonstrated by
means of log-likelihood profile plots. The usefulness the half logistic-Topp
Leone Lomax distribution was assessed by means of applications to real world
datasets. The model was compared to other generalizations of the Lomax
distribution. The new distribution emerged as a good contender to the other
generalizations involving the Lomax distribution.
JEL classification numbers: E18, HO, I1, J64, J88.
Keywords:
Half Logistic Transformation, Topp-Leone Lomax
Distribution, Maximum Likelihood Estimation, Log-Likelihood Profile Plots,
Lomax Distribution.