introduced the concept of dual generalized order statistics (dgos) that enables a common approach to descending ordered random variables like reversed order statistics and lower …
AAA EL-Helbawy, GR AL-Dayian… - Pakistan Journal of …, 2020 - pjsor.com
In this paper, the shape parameters, reliability and hazard rate functions of the inverted Kumaraswamy distribution are estimated using maximum likelihood and Bayesian methods …
RU Khan, MA Khan - Journal of King Saud University-Science, 2015 - Elsevier
In this paper we derive explicit algebraic expressions and some recurrence relations for both single and product moments of dual generalized order statistics from a family of J-shaped …
In this paper, we obtain exact explicit expressions as well as several recurrence relations satisfied by single and product moments of dual (lower) generalized order statistics from …
N Gupta, QA Jamal - Journal of Applied Mathematics and Computing, 2019 - Springer
In this paper, the authors have derived relations for marginal and joint moment generating function of Weibull Generalized exponential distribution (WGED) based on generalized …
GG Hamedani, GM Cordeiro… - … of Statistics and …, 2017 - epublications.marquette.edu
Based on a simple relationship between two truncated moments and certain functions of the th order statistic, we characterize some extended classes of distributions recently proposed …
I Khan - Statistics, Optimization & Information Computing, 2020 - iapress.org
The dual generalized order statistics is a unified scheme which contains the well known decreasingly ordered random variables such as (reversed) order statistics, lower record …
MI Khan - Journal of Statistics and Management Systems, 2022 - Taylor & Francis
The basic concept of ordered random variables is how the ordering is being done for a model. Dual generalized order statistics (dgos) is one of them. The powered inverse …