Let X and Y be independent standard normal random variables. Determine the pdf of W = x² + y². Find the mean and the variance of U = W.

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Let X and Y be independent standard normal random variables. Determine the pdf of
W = x² + y². Find the mean and the variance of U = /W.
Let Y₁, Y₂, ..., Yn denote a random sample of size n from a population with a uniform distribution
on the interval (0, 0). Consider = Y(1) = min(Y₁, Y₂, ..., Y₁) as an estimator for 0. Show that
is a biased estimator for 0.
Let X and Y be independent exponentially distributed random variables with parameter
X
λ = 1. If U = X + Y and V =. Find and identify the marginal density of U.
X+Y
Transcribed Image Text:Let X and Y be independent standard normal random variables. Determine the pdf of W = x² + y². Find the mean and the variance of U = /W. Let Y₁, Y₂, ..., Yn denote a random sample of size n from a population with a uniform distribution on the interval (0, 0). Consider = Y(1) = min(Y₁, Y₂, ..., Y₁) as an estimator for 0. Show that is a biased estimator for 0. Let X and Y be independent exponentially distributed random variables with parameter X λ = 1. If U = X + Y and V =. Find and identify the marginal density of U. X+Y
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