
The exponentiated burr xii distribution: moments and estimation based on lower record values
By: Devendra Kumar, Jagdish Saran and Neetu Jain
Abstract
In this paper, we have established several explicit expressions and recurrence relations for single and product moments of k-th lower record values from exponentiated Burr XII distribution. Two characterizing results of exponentiated Burr XII distribution has been obtained by using the recurrence relation for single moments and conditional expectation based on lower record values. The method of maximum likelihood is adopted for estimating the model parameters based on k-th lower record values. We carried out Monte Carlo simulations to compare the performances of the proposed methods and providing one real data case study for illustration of the results obtained.
DOI: https://doi.org/10.4038/sljastats.v18i1.7930 | Journal eISSN: 2424-6271
Language: English
Page range: 1 - 18
Published on: Aug 31, 2017
Published by: The Institute of Applied Statistics, Sri Lanka
In partnership with: Paradigm Publishing Services
Keywords:
© 2017 Devendra Kumar, Jagdish Saran, Neetu Jain, published by The Institute of Applied Statistics, Sri Lanka
This work is licensed under the Creative Commons Attribution 4.0 License.