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P-Norm bounds for moments of progressive type II censored order statistics

โœ Scribed by Mohammad Z. Raqab


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
236 KB
Volume
64
Category
Article
ISSN
0167-7152

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โœฆ Synopsis


In this paper, we present p-norm bounds for the moments of progressive type II censored order statistics, measured in scale units generated by absolute moments of the parent distribution of a single observation. The bounds are established based on combining the Moriguti monotone approximations with the H older inequality. We also determine the distributions for which the bounds are attained. Further, the bounds are evaluated and compared with other classical ones.


๐Ÿ“œ SIMILAR VOLUMES


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โœ N. Balakrishnan; E. Cramer; U. Kamps ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 155 KB

By applying di erent methods, bounds for expected values and variances of progressive type II censored order statistics are derived. Since ordinary order statistics are contained in the model, well-known bounds for their moments are obtained as particular cases. The method of the greatest convex min

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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