10. , Let X(1 ≤ k ≤ n) be independent random variables and B~ Bernoulli(pk)(1 ≤ k ≤ n) be independent from each other and from the first class of random variables (Σk=1 Pk = 1). Define the mixture random variable X = B₁.X₁ + ··· + B₁-Xn- Calculate the hazard function of X in terms of hazard function of its components. Hint: First, use conditioning to calculate the probability density function and cumulative distribution function of X. Then, use the definition of the hazard function.
10. , Let X(1 ≤ k ≤ n) be independent random variables and B~ Bernoulli(pk)(1 ≤ k ≤ n) be independent from each other and from the first class of random variables (Σk=1 Pk = 1). Define the mixture random variable X = B₁.X₁ + ··· + B₁-Xn- Calculate the hazard function of X in terms of hazard function of its components. Hint: First, use conditioning to calculate the probability density function and cumulative distribution function of X. Then, use the definition of the hazard function.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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