1) Let X₁, X2, X3, ... Xn be a sequence of independent and identically distributed with the following probability density function 1 f(x; 0)=√√2π =e=1/(x-0) ² if - ∞0 < x < 0 otherwise 0, a) Is f(x; 0) a member of one-parameter regular exponential family? If yes, write down the functions, h(x), c(0), w(0) and t(x). b) Find the maximum likelihood estimator of the parameter 0. c) Find the variance of the maximum likelihood estimator of the parameter 0.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.1: Continuous Probability Models
Problem 31E: Show that each function defined as follows is a probability density function on the given interval;...
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1) Let X₁, X₂, X3, ... Xn be a sequence of independent and identically distributed with the
following probability density function
1-1/(x-0²
e
f(x; 0)=√√2π
if - ∞ < x <∞o
otherwise
0,
a) Is f(x; 0) a member of one-parameter regular exponential family? If yes, write
down the functions, h(x), c(0), w(0) and t(x).
b)
Find the maximum likelihood estimator of the parameter 0.
c) Find the variance of the maximum likelihood estimator of the parameter 8.
d) Which one between X and (X₁ + X₂ − 2X3 + 2X4) statistics is more efficient?
Transcribed Image Text:1) Let X₁, X₂, X3, ... Xn be a sequence of independent and identically distributed with the following probability density function 1-1/(x-0² e f(x; 0)=√√2π if - ∞ < x <∞o otherwise 0, a) Is f(x; 0) a member of one-parameter regular exponential family? If yes, write down the functions, h(x), c(0), w(0) and t(x). b) Find the maximum likelihood estimator of the parameter 0. c) Find the variance of the maximum likelihood estimator of the parameter 8. d) Which one between X and (X₁ + X₂ − 2X3 + 2X4) statistics is more efficient?
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