A class of bivariate stochastic orderings, with applications in actuarial sciences
✍ Scribed by Michel Denuit; Claude Lefèvre; M’hamed Mesfioui
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 188 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0167-6687
No coin nor oath required. For personal study only.
✦ Synopsis
This paper is concerned with the bivariate extension of a wide class of univariate orderings said to be of convex-type. Attention is paid to random vectors valued in a rectangle or an orthant of the real plane. Various orderings used in probability and statistics (such as the stochastic dominance, the upper orthant order, the orthant convex order, the correlation order and the supermodular order) can be seen as particular cases. The practical applications of these orderings seem to be very promising, especially in actuarial sciences.
📜 SIMILAR VOLUMES
In this paper we ÿrst obtain several results which compare mixtures of distributions in the (increasing) convex and concave stochastic orders. We employ these results to derive relatively weak conditions on the intensity functions of a pair of nonhomogeneous Poisson processes (in fact, on the distri
## SUMMARY In this paper, we consider the problem of existence of certain global solutions for general discrete‐time backward nonlinear equations, defined on infinite dimensional ordered Banach spaces. This class of nonlinear equations includes as special cases many of the discrete‐time Riccati equ