A new transformed g class of distributions with theory and applications | [Pakistan Journal of Statistics • 2023]

Author(s):

1. Muhammad Zeshan Arshad: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan

2. Muhammad Zafar Iqbal: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan

3. Muhammad Kashif: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan

4. Madiha Ghamkhar: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan

Abstract:

In this paper, we develop a new class that generates flexible optimal models. The appropriate features of the new class and a special member are studied by utilizing analytical, graphical, and numerical methodologies. For the estimation of unknown parameters, the maximum likelihood, least-square, and percentile methods are discussed and selection is based on bias and mean square error via an extensive simulation study. Five-life time data sets are evaluated, revealing that the new class has a significant advantage over well-known competitors.

Page(s): 45-78

DOI: DOI not available

Published: Journal: Pakistan Journal of Statistics, Volume: 39, Issue: 1, Year: 2023

Keywords:

probability distribution , power function distribution , Transformed family

References:

References are not available for this document.

Citations

Citations are not available for this document.

Citations

Downloads

Views