Showing 1 - 10 of 16
Persistent link: https://www.econbiz.de/10005221460
Characterizations of probability distributions is a topic of great popularity in applied probability and reliability literature for over last 30 years. Beside the intrinsic mathematical interest (often related to functional equations) the results in this area are helpful for probabilistic and...
Persistent link: https://www.econbiz.de/10005199722
A new family of continuous multivariate distributions is introduced, generalizing the canonical form of the multivariate normal distribution. The well-known univariate version of this family, as developed by Box, Tiao and Lund, among others, has proven a valuable tool in Bayesian analysis and...
Persistent link: https://www.econbiz.de/10005221215
Based on an analysis of copulas of elliptically contoured distributions, joint densities of continuous variables with given strictly increasing marginal distributions are constructed. A method utilized for this procedure is to embed the spherical distribution quantile transformation of each...
Persistent link: https://www.econbiz.de/10005006425
In this paper we provide rather weak conditions on a distribution which would guarantee that the t-statistic of a random vector of order n follows the t-distribution with n-1 degrees of freedom. The results sharpen the earlier conclusions of Mauldon [Characterizing properties of statistical...
Persistent link: https://www.econbiz.de/10005221559
A vector definition of multivariate hazard rate, and associated definitions of increasing and decreasing multivariate hazard rate distributions are presented. Consequences of these definitions are worked out in a number of special cases. Relationships between hazard rate and orthant dependence...
Persistent link: https://www.econbiz.de/10005221708
The distributions of the ratio X/Y are derived when (X,Y) has the elliptically symmetric Pearson-type II distribution, elliptically symmetric Pearson-type VII distribution and the elliptically symmetric Kotz-type distribution.
Persistent link: https://www.econbiz.de/10005153126
Mehler gave an expansion for the standard bivariate normal density. Kibble extended it to a multivariate normal density whose covariance is a correlation matrix. We give extensions of these expansions for general covariances.
Persistent link: https://www.econbiz.de/10008550989
The recent paper by Alshabani et al. [Partial size-and-shape distributions, J. Multivariate Anal. (2006), in press] derived the partial size-and-shape distributions motivated by a study in human movement analysis. The paper contained three main results (referred to as Results 1-3), each deriving...
Persistent link: https://www.econbiz.de/10005093707
Persistent link: https://www.econbiz.de/10005093742