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- W4382602499 abstract "We address two important types of transformations in this chapter; both are transformations of jointly distributed random variables, say Y1 and Y2. First, we find the distribution of X = g(Y1, Y2). Second, we find the joint distribution of X1 and X2, where X1 = g1(Y1, Y2) and X2 = g2(Y1, Y2). The techniques in this chapter mostly apply to jointly continuous random variables; to transform jointly discrete random variables, we can often compute the probabilities directly." @default.
- W4382602499 created "2023-06-30" @default.
- W4382602499 date "2019-01-01" @default.
- W4382602499 modified "2023-09-24" @default.
- W4382602499 title "Chapter 30: Transformations of Jointly Distributed Random Variables" @default.
- W4382602499 doi "https://doi.org/10.1137/1.9781611975789.ch30" @default.
- W4382602499 hasPublicationYear "2019" @default.
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