Titlebook: Conditionally Specified Distributions; Barry C. Arnold,Enrique Castillo,José-Mariá Sarabi Conference proceedings 1992 Springer-Verlag Berl

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Lecture Notes in Statisticshttp://image.papertrans.cn/c/image/235218.jpg

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Jürgen Bierbrauer,Jessica FridrichIn our discussion of compatible conditional densities (Chapter 2) it will be recalled that the key requirements for compatibility were.(i) {(.):.(.|.)>0}={(.):.(.|.)>0}.(ii) .(.|.)/.(.|.)=.(.).(.).(iii) .(.) in (ii) must be integrable.

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Simulations,One of the most important tools for deriving the distributional properties of complicated functions of random variables arising in practice is the Monte Carlo method. In fact, on many occasions the analytical treatment of statistical problems is impossible, and one is forced to use simulations in order to get the desired result.

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https://doi.org/10.1007/978-1-4612-2912-4Distribution; Finite; calculus; equation; function; theorem

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Basic Theorems,stributions. The concepts are most easily visualized when densities exist and, in particular, are most transparent when . are discrete and each has only a finite set of possible values. We begin our discussion in such a setting.

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