Estimation of parameters from progressively censored data using EM algorithm

Computational Statistics and Data Analysis

Volumn 39, Issue 4, 2002, Pages 371-386

  Ng, H K T ^a   Chan, P S ^a   Balakrishnan, N ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Asymptotic variances; EM algorithm; Lifetime data; Maximum likelihood estimators; Missing information; Type II progressive censoring

Indexed keywords

ALGORITHMS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION;

INFORMATION PRINCIPLE;

DATA REDUCTION;

ALGORITHM;

EID: 0037189315     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(01)00091-3     Document Type: Article

References (19)

1. Point and interval estimation for the normal distribution based on progressive Type-II censored samples
2. Progressively censored reliability sampling plans for the Weibull distribution
3. Progressively censored samples in life testing
4. Maximum likelihood from incomplete data via the EM algorithm
5. Incomplete data
6. Finding the observed information matrix when using the EM algorithm
7. Best linear invariant estimation for Weibull parameters under progressive censoring
8. Goodness of fit for the extreme value distribution
9. Linear order statistic estimation for the two-parameter Weibull and extreme value distributions from Type-II progressively censored samples
10. Interval estimation of parameters of life from progressively censored data