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.

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, Let Xr(1 <k < n) be independent random variables and Bg ~ Bernoulli(pk)(1 < k <
10.
n) be independent from each other and from the first class of random variables (E-1 Pk = 1).
Define the mixture random variable X = B1.X1+..+Bn.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.
Transcribed Image Text:, Let Xr(1 <k < n) be independent random variables and Bg ~ Bernoulli(pk)(1 < k < 10. n) be independent from each other and from the first class of random variables (E-1 Pk = 1). Define the mixture random variable X = B1.X1+..+Bn.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.
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