On the multivariate probability integral transformation
โ Scribed by Christian Genest; Louis-Paul Rivest
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 112 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
โฆ Synopsis
A general formula is given for computing the distribution function K of the random variable H (X; Y ) obtained by taking the bivariate probability integral transformation (BIPIT) of a random pair (X; Y ) with distribution function H . Of particular interest is the behavior of the sequence (Kn) corresponding to the BIPIT of pairs (Xn; Yn) of componentwise maxima Xn = max(X1; : : : ; Xn) and Yn = max(Y1, . . . , Yn) of random samples (X1; Y1); : : : ; (Xn; Yn) from distribution H . Illustrations are provided and the potential for statistical application is outlined. Multivariate extensions are brie y considered.
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