Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications

Abstract

Abstract A neutrosophic statistic is a random variable and it has a neutrosophic probability distribution. So, in this paper, we introduce the new neutrosophic Birnbaum–Saunders distribution. Some statistical properties are derived, using Mathematica 13.1.1 and R-Studio Software. Two different estimation methods for parameters estimation are introduced for new distribution: maximum likelihood estimation method and Bayesian estimation method. A Monte-Carlo simulation study is used to investigate the behavior of parameters estimates of new distribution, compare the performance of different estimates, and compare between our distribution and the classical version of Birnbaum–Saunders. Finally, study the validity of our new distribution in real life.

Keywords

• Neutrosophic statistics
• Simulation study
• Birnbaum–Saunders distribution
• Bayesian estimation
• Maximum likelihood estimation