missing information principle
Recently Published Documents


TOTAL DOCUMENTS

10
(FIVE YEARS 0)

H-INDEX

2
(FIVE YEARS 0)

2014 ◽  
Vol 912-914 ◽  
pp. 1663-1668 ◽  
Author(s):  
Min Yang ◽  
Cheng Dong Wei ◽  
Qing Zhu Fan

In this paper, The problem of estimating unknown paramaters of Lomax distribution is considered under the assumption that samples are type-II censoring. The maximum likelihood estimates are developed for unknown paramaters using EM algorithm and NR method. We obtain the observed Fisher information matrix using the missing information principle . A numerical study is performed to compare the proposed estimate.


2001 ◽  
Vol 13 (5) ◽  
pp. 709-727 ◽  
Author(s):  
Ian W. Mckeague ◽  
Sundarraman Subramanian ◽  
Yanqing sun

Sign in / Sign up

Export Citation Format

Share Document