7.4.4 Consider the probability density function f(x) = c(1 +0x), -1≤x≤1 a. Find the value of the constant c. b. What is the moment estimator for 0? c. Show that = 3X is an unbiased estimator for O. d. Find the maximum likelihood estimator for 0. 7.4.5 Consider the Weibull distribution B-1 e-(§)³, 0 < x f(x) = = 66 0, otherwise a. Find the likelihood function based on a random sample of size n. Find the log likelihood. b. Show that the log likelihood is maximized by solving the following equations Σx 1n(x) i=1 n Σ i=1 n Σ In(x;) i=1 n со δ || n 1/B Σ Ᏸ i=1 n کہ c. What complications are involved in solving the two equations in part (b)?
7.4.4 Consider the probability density function f(x) = c(1 +0x), -1≤x≤1 a. Find the value of the constant c. b. What is the moment estimator for 0? c. Show that = 3X is an unbiased estimator for O. d. Find the maximum likelihood estimator for 0. 7.4.5 Consider the Weibull distribution B-1 e-(§)³, 0 < x f(x) = = 66 0, otherwise a. Find the likelihood function based on a random sample of size n. Find the log likelihood. b. Show that the log likelihood is maximized by solving the following equations Σx 1n(x) i=1 n Σ i=1 n Σ In(x;) i=1 n со δ || n 1/B Σ Ᏸ i=1 n کہ c. What complications are involved in solving the two equations in part (b)?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
Related questions
Question
Answer questions 7.4.4 and 7.4.5 respectively

Transcribed Image Text:7.4.4 Consider the probability density function
f(x) = c(1 +0x), -1≤x≤1
a. Find the value of the constant c.
b. What is the moment estimator for 0?
c. Show that = 3X is an unbiased estimator for O.
d. Find the maximum likelihood estimator for 0.
7.4.5 Consider the Weibull distribution
B-1
e-(§)³,
0 < x
f(x) =
=
66
0,
otherwise
a. Find the likelihood function based on a random sample
of size n. Find the log likelihood.

Transcribed Image Text:b. Show that the log likelihood is maximized by solving the
following equations
Σx 1n(x)
i=1
n
Σ
i=1
n
Σ In(x;)
i=1
n
со
δ
||
n
1/B
Σ
Ᏸ
i=1
n
کہ
c. What complications are involved in solving the two
equations in part (b)?
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