| dc.description.abstract | Statistical distributions play a major role in parametric statistical modeling and inference.
However, most of the existing classical distributions do not provide reasonable parametric fits to
data sets. Thus, the need to develop generalized versions of these classical distributions has
become an issue of interest to many researchers in the field of distribution theory. This study
proposes a new generalization of the Burr III distribution called the exponentiated generalized
geometric Burr III distribution. Various statistical properties of the distribution such as the
quantile function, moment, moment generating function, incomplete moment, mean residual life,
entropy, reliability, stochastic orders and order statistics were derived. The method of maximum
likelihood estimation was employed to estimate the parameters of the distribution and simulation
studies were performed to investigate the properties of the estimators for the parameters of the
distribution. The simulation results revealed that the estimators for the parameters were stable as
the sample size increases. Application of the distribution was demonstrated using real data set to
showits usefulness.
Keywords: Burr III, geometric, quantile function, stochastic orders, order statistics, entropy. | en_US |
