Another Remark on the Alternative Expectation Formula

被引:15
作者
Hong, Liang [1 ]
机构
[1] Robert Morris Univ, Dept Math, Moon Township, PA 15108 USA
关键词
Expectation; Integration by parts; Multivariate analysis; Nonnegative continuous random variable; Survival function;
D O I
10.1080/00031305.2015.1049710
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Students in a calculus-based probability course will often see the expectation formula for nonnegative continuous random variables in terms of the survival function. This alternative expectation formula has a wide spectrum of applications. It is natural to ask whether there is a multivariate version of this formula. This note gives an affirmative answer by establishing such a formula using two different approaches. The two approaches employed in this note correspond to the two approaches for the univariate case. Supplementary materials for this article are available online.
引用
收藏
页码:157 / 159
页数:3
相关论文
共 19 条
[1]  
[Anonymous], 2012, INTRO MATH STAT
[2]  
[Anonymous], 1968, INTRO MATH POPULATIO
[3]  
[Anonymous], 1988, Modern Mathematical Statistics
[4]  
Barlow RE., 1965, Mathematical theory of reliability
[5]  
Bean M.A., 2001, Probability: the science of uncertainty with applications to investments, insurance, and engineering
[6]  
Billingsley P., 1995, Probability and Measure, Vthird
[7]  
Chow Y. S., 1997, PROBABILITY THEORY I
[8]   Markov's Inequality and Chebyshev's Inequality for Tail Probabilities: A Sharper Image [J].
Cohen, Joel E. .
AMERICAN STATISTICIAN, 2015, 69 (01) :5-7
[9]  
Cunningham R., 2008, MODELS QUALIFYING RI, V3rd
[10]  
Feller W., 1991, An Introduction to Probability Theory and Its Applications, Vol, V1