Another Remark on the Alternative Expectation Formula.

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...

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Publicado en:American Statistician Vol. 69; no. 3; pp. 157 - 160
Autor principal: Hong, Liang
Formato: Artículo
Publicado: Taylor & Francis Ltd Aug2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1080/00031305.2015.1049710
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        atl: Another Remark on the Alternative Expectation Formula.
      aug:
        au: Hong, Liang
      su:
        Expectancy theories
        Integration by parts
        Multivariate analysis
        Random variables
        Probability density function
      sug:
        subj:
          Expectancy theories
          Integration by parts
          Multivariate analysis
          Random variables
          Probability density function
      keyword:
        Expectation
        Nonnegative continuous random variable
        Survival function.
        Expectation
        Nonnegative continuous random variable
        Survival function.
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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