A mass-production line manufactures electrical heating elements with lifespans X; which have independent exponential distributions with pdf 1 еxp I; > 0. A sample of n elements is to be tested. If Y is the lifespan of the first of the n elements to fail, it can be shown that the pdf of Y is -ny" g(y) еxp y > 0. (a) Use integration to show that the mean lifespan X; is 0, and the variance is º. (b) Show that the sample mean X =±EL X; is an unbiased estimator of 0. (c) By noting the similarity between f(x:) and g(y) or otherwise, deduce the mean and variance of Y. (d) Find the constant k such that kY is an unbiased estimator of 0. Is the estimator consistent? (e) Which of the two estimators, X or kY, would you prefer? 2.

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A mass-production line manufactures electrical heating elements with lifespans X;
which have independent exponential distributions with pdf
1
exp
T; > 0.
(2).
A sample of n elements is to be tested. If Y is the lifespan of the first of the n
elements to fail, it can be shown that the pdf of Y is
g(2) = , exp ()
y > 0.
(a) Use integration to show that the mean lifespan X; is 0, and the variance is 0.
(b) Show that the sample mean X = X; is an unbiased estimator of 0.
(c) By noting the similarity between f(x:) and g(y) or otherwise, deduce the
mean and variance of Y.
(d) Find the constant k such that kY is an unbiased estimator of 0. Is the
estimator consistent?
(e) Which of the two estimators, X or kY, would you prefer?
2.
Transcribed Image Text:A mass-production line manufactures electrical heating elements with lifespans X; which have independent exponential distributions with pdf 1 exp T; > 0. (2). A sample of n elements is to be tested. If Y is the lifespan of the first of the n elements to fail, it can be shown that the pdf of Y is g(2) = , exp () y > 0. (a) Use integration to show that the mean lifespan X; is 0, and the variance is 0. (b) Show that the sample mean X = X; is an unbiased estimator of 0. (c) By noting the similarity between f(x:) and g(y) or otherwise, deduce the mean and variance of Y. (d) Find the constant k such that kY is an unbiased estimator of 0. Is the estimator consistent? (e) Which of the two estimators, X or kY, would you prefer? 2.
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