Kernel Inference on the Generalized Gamma Distribution Based on Generalized Order Statistics
The kernel approach has been applied using the adaptive kernel density estimation, to inference on the generalized gamma distribution parameters, based on the generalized order statistics (GOS). For measuring the performance of this approach comparing to the Asymptotic Maximum likelihood estimation,...
Main Authors: | M. Ahsanullah, M. Maswadah, Ali M. Seham |
---|---|
Format: | Article |
Language: | English |
Published: |
Atlantis Press
2013-08-01
|
Series: | Journal of Statistical Theory and Applications (JSTA) |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/8356.pdf |
Similar Items
-
Bayesian Inference on the Generalized Gamma Distribution Based on Generalized Order Statistics
by: M. Maswadah, et al.
Published: (2013-12-01) -
Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference
by: Bushra Khatoon, et al.
Published: (2021-03-01) -
GENERALIZED PARETO DISTRIBUTION BASED ON GENERALIZED ORDER STATISTICS AND ASSOCIATED INFERENCE
by: Mansoor Rashid Malik, et al.
Published: (2019-09-01) -
Statistical Inference for the Inverted Scale Family under General Progressive Type-II Censoring
by: Jing Gao, et al.
Published: (2020-05-01) -
Some Results on a Generalized Residual Entropy based on Order Statistics
by: Suchandan Kayal
Published: (2014-12-01)