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Q25Section A (Section A)25 of 60

Invariance for exponential functionals

Let X1,X2,…,X10X_{1},X_{2},…,X_{10} be a random sample of size 1010 from an Exp⁡(β)\operatorname{Exp}(\beta) distribution, where β>0\beta>0 is an unknown parameter. Let T=110∑i=110XiT=\frac{1}{10}\sum_{i=1}^{10}X_{i}. Consider the following statements. PP: (log⁡e2)T(\log_{e} 2)T is a maximum likelihood estimator of median of X(1)X_{(1)}. QQ: e−2Te^{-\frac{2}{T}} is a maximum likelihood estimator of P(X1<2)P(X_{1}<2). Then

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