Let X1, X₂, ..., X, be a random sample from a Beta distribution with the pdf f(x; a) = axª-¹ for 0
Let X1, X₂, ..., X, be a random sample from a Beta distribution with the pdf f(x; a) = axª-¹ for 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.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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![Let X1, X₂,..., X₁ be a random sample from a Beta distribution with the pdf ƒ(x; a) = axª-¹ for
0< x < 1, and zero otherwise. Which statement is correct?
(1) â = X is the maximum likelihood estimator of a and is a consistent estimator of a.
(II) â = X is the maximum likelihood estimator of a and is NOT a consistent estimator of a.
is the maximum likelihood estimator of a and is a consistent estimator of a.
(III) â =
(IV) â =
O (IV)
O (1)
O (III)
O (II)
-n
Zi-1 log(X₂)
-n
Σ1 log(X₂)
i=1
is the maximum likelihood estimator of a and is NOT a consistent estimator of a.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff5b9771c-85ca-40fe-be73-278827865096%2F0597583d-c32c-43b5-81b6-dcaec92276e1%2Fuccfndg_processed.png&w=3840&q=75)
Transcribed Image Text:Let X1, X₂,..., X₁ be a random sample from a Beta distribution with the pdf ƒ(x; a) = axª-¹ for
0< x < 1, and zero otherwise. Which statement is correct?
(1) â = X is the maximum likelihood estimator of a and is a consistent estimator of a.
(II) â = X is the maximum likelihood estimator of a and is NOT a consistent estimator of a.
is the maximum likelihood estimator of a and is a consistent estimator of a.
(III) â =
(IV) â =
O (IV)
O (1)
O (III)
O (II)
-n
Zi-1 log(X₂)
-n
Σ1 log(X₂)
i=1
is the maximum likelihood estimator of a and is NOT a consistent estimator of a.
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