Journal article
An efficient computational method for moments of order statistics under progressive censoring
Abstract
Thomas and Wilson (Technometrics 14 (1972) 679) developed a computational method for calculating the single and product moments of order statistics from progressively censored samples by making use of the corresponding moments of the usual order statistics. The absence of an explicit representation for the marginal and joint density function of order statistics under progressive censoring makes their method extremely tedious. By deriving the …
Authors
Balakrishnan N; Childs A; Chandrasekar B
Journal
Statistics & Probability Letters, Vol. 60, No. 4, pp. 359–365
Publisher
Elsevier
Publication Date
December 2002
DOI
10.1016/s0167-7152(02)00267-5
ISSN
0167-7152