PROBABILITY & STATS FOR ENGINEERING &SCI
PROBABILITY & STATS FOR ENGINEERING &SCI
9th Edition
ISBN: 9781285099804
Author: DEVORE
Publisher: CENGAGE L
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Chapter 6.1, Problem 13E

Consider a random sample X1,..., Xn from the pdf

f ( x ;   θ ) = .5 ( 1  +  θ x ) 1     x    1

where −1 ≤ θ ≤ 1 (this distribution arises in particle physics). Show that θ ^  = 3 X ¯ is an unbiased estimator of θ. [Hint: First determine μ = E(X) = E( X ¯ ).]

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Suppose X1, . . . , Xn are i.i.d. from a continuous distribution with p.d.f. fθ(x)=1/2(1+θx)if −1≤x≤1, where θ ∈ [−1, 1] is an unknown parameter. (a) Find E(X1).(b) Find the MME for θ. (c) Compute the variance of your MME from part (a).
X1,X2,...,Xn are i.i.d. random variables from N(0,θ) distribution. Here, θ= σ2 >0is the variance of the distribution, and is an unknown parameter. Find the MLE of θ(no need tocalculate the second derivative).
Derive the following:(c) variance(d) moment generating function

Chapter 6 Solutions

PROBABILITY & STATS FOR ENGINEERING &SCI

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