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# Show that the discrete inverse transform algorithm for

ISBN: 9780123948113 226

## Solution for problem 12 Chapter 15

Introduction to Probability and Statistics for Engineers and Scientists | 5th Edition

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Introduction to Probability and Statistics for Engineers and Scientists | 5th Edition

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Problem 12

Show that the discrete inverse transform algorithm for generating a geometric random variable with parameter p reduces to the following: 1. Generate a random number U 2. Set X = Int( log(1U) log(1p) ) + 1 Give a second algorithmfor generating a geometric randomvariablewith parameter p that takes into account the probabilistic interpretation of such a randomvariable.

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ST 701 Week Six Notes MaLyn Lawhorn September 19, 2017 and September 21, 2017 Transformation Continued Recall that if we have some random variable X with known PDF for which X ! Y by some g(x), then we also know everything we need to about Y .Depending on the properties of g(x), though, how we gather information about Y changes....

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##### ISBN: 9780123948113

This full solution covers the following key subjects: . This expansive textbook survival guide covers 15 chapters, and 576 solutions. This textbook survival guide was created for the textbook: Introduction to Probability and Statistics for Engineers and Scientists, edition: 5. Introduction to Probability and Statistics for Engineers and Scientists was written by and is associated to the ISBN: 9780123948113. Since the solution to 12 from 15 chapter was answered, more than 226 students have viewed the full step-by-step answer. The answer to “Show that the discrete inverse transform algorithm for generating a geometric random variable with parameter p reduces to the following: 1. Generate a random number U 2. Set X = Int( log(1U) log(1p) ) + 1 Give a second algorithmfor generating a geometric randomvariablewith parameter p that takes into account the probabilistic interpretation of such a randomvariable.” is broken down into a number of easy to follow steps, and 57 words. The full step-by-step solution to problem: 12 from chapter: 15 was answered by , our top Statistics solution expert on 01/09/18, 07:40PM.

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