On sample spacings from IMRL distributions
โ Scribed by S.N.U.A. Kirmani
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 28 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
โฆ Synopsis
The objective of this correction note is to point out that the proof of part (a) of Lemma 1 is not valid because, when X is IMRL, the sign of ~(t) is negative rather than positive. Recent investigations suggest that X is IMRL does not imply that Xt :. is IMRL but the implication is true under additional restrictions on X. It is, however, true that if Xt:. is IMRL then so is XI:,. for all m = 1, ..., n -1. In view of the above, the hypotheses in Corollary I and Theorems 1-3, and 4(a) should be strengthened to the assumption that X1 :. is IMRL.
๐ SIMILAR VOLUMES
Let X1: n6X2 : n6 โข โข โข 6Xn : n denote the order statistics of a random sample of size n from a probability distribution with distribution function F. Similarly, let Y1: m6Y2:m6 โข โข โข 6Ym : m denote the order statistics of an independent random sample of size m from another distribution with distrib