ARCTAN GENERALIZED INVERTED EXPONENTIAL DISTRIBUTION: PROPERTIES AND APPLICATIONS

  • Ram Suresh Yadav Department of Mathematics & Statistics DDU Gorakhpur University, Gorakhpur
  • Vijay Kumar Department of Mathematics & Statistics DDU Gorakhpur University, Gorakhpur
Keywords: Arctan distribution, Generalized Inverted exponential, Estimation.

Abstract

In this paper, a three-parameter new distribution called arctan generalized inverted exponential distribution is presented. Some mathematical properties of the distribution such as the shapes of the cumulative density, probability density, probability density, and hazard rate functions, survival function, quantile function, the kurtosis and skewness measures are established. To estimate the model parameters, we have employed three well-known estimation methods namely least-square estimation (LSE), maximum likelihood estimation (MLE), and Cramer-Von-Mises (CVM) methods. For the illustration purposes we have considered the two real data sets and goodness-of-fit statistics AIC, BIC, AICC and HQIC are calculated. It is found that the new distribution performs better
as compared to some existing distribution.

Published
2020-11-08

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.