DERIVATION OF BIVARIATE PROBABILITY DENSITY-FUNCTIONS WITH EXPONENTIAL MARGINALS

被引:93
作者
SINGH, K [1 ]
SINGH, VP [1 ]
机构
[1] LOUISIANA STATE UNIV,DEPT CIVIL ENGN,BATON ROUGE,LA 70803
来源
STOCHASTIC HYDROLOGY AND HYDRAULICS | 1991年 / 5卷 / 01期
关键词
BIVARIATE PROBABILITY DISTRIBUTION; RANDOM VARIABLES; ZERO MARGINALS; FINCH-GROBICKI METHOD;
D O I
10.1007/BF01544178
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A bivariate probability density function (pdf), f(x1,x2), admissible for two random variables (X1,X2), is of the form f(x1,x2) = f1(x1)f2(x2)[1+rho{F1(x1)F2(x2)}] where rho(u,v) (u=F1(x1), v=F2(x2)) is any function on the unit square that is O-marginal and bounded below by -1 and F1(x1) and F2(x2) are cumulative distribution functions (cdf) of marginal probability density functions f1(x1) and f2(x2). The purpose of this study is to determine f(x1,x2) for different forms of rho(u,v). By considering the rainfall intensity and the corresponding depths as dependent random variables, observed and computed probability distributions F1(x1), F(x1\x2), F2(x2\x1) are compared for various forms of rho(u,v). Subsequently, the best form of rho(u,v) is specified.
引用
收藏
页码:55 / 68
页数:14
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