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Transformations of Random Variables and Random Vectors

Rinaldo B. Schinazi
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Rinaldo B. Schinazi: University of Colorado, Department of Mathematics

Chapter 8 in Probability with Statistical Applications, 2001, pp 177-212 from Springer

Abstract: Abstract The notion of distribution function is especially useful when dealing with continuous random variables. However, any random variable has a distribution function, as one can see below.

Keywords: Normal Vector; Random Vector; Independent Random Variable; Joint Density; Moment Generate Function (search for similar items in EconPapers)
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-3421-8_8

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DOI: 10.1007/978-1-4757-3421-8_8

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