Let X be a random variable with pdf f(x) = pfi(x) + (1 - p)f2(x), IT which is a mixture of two pdf's fi(x) and f2(x) where f1 (2) = 1+(-0₁) is a pdf of Cauchy distribution and |f2(x)=√√/2 is a pdf of a' normal distribution. The parameter of interest is 0₁ and 02 to be estimated from the data of size n, X₁X,Xn. For simplicity, we assume p = 0.2 and n = 500. (a) Write the likelihood function L(0₁.02) and its log-likelihood 1(01,02) = log(L(01,02)). (b) Write R code to generate the data of n = 500 from the mixture pdf f(x) with 0₁ = 10 and 0₂= 3. - (c) With the data generated above, write an R function, like (0₁02), for 1(01,02). data (a) Tuis
Let X be a random variable with pdf f(x) = pfi(x) + (1 - p)f2(x), IT which is a mixture of two pdf's fi(x) and f2(x) where f1 (2) = 1+(-0₁) is a pdf of Cauchy distribution and |f2(x)=√√/2 is a pdf of a' normal distribution. The parameter of interest is 0₁ and 02 to be estimated from the data of size n, X₁X,Xn. For simplicity, we assume p = 0.2 and n = 500. (a) Write the likelihood function L(0₁.02) and its log-likelihood 1(01,02) = log(L(01,02)). (b) Write R code to generate the data of n = 500 from the mixture pdf f(x) with 0₁ = 10 and 0₂= 3. - (c) With the data generated above, write an R function, like (0₁02), for 1(01,02). data (a) Tuis
New Perspectives on HTML5, CSS3, and JavaScript
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Chapter9: Getting Started With Javascript: Creating A Countdown Clock
Section: Chapter Questions
Problem 16CP1
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2. Let X be a random variable with pdf
f(x) = pf1(x) + (1 − p)ƒ2(x),
which is a mixture of two pdf's fi(x) and ƒ2(x) where f1(x) = //
1
(x-02)²
-
2
=
L
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Title
Cauchy distribution and f2(x)
1
√2T
is a pdf of a' normal distribution. The
parameter of interest is ₁ and ₂ to be estimated from the data of size n, X₁, Xn,,Xn.
For simplicity, we assume p = 0.2 and n = 500.
(a) Write the likelihood function L(0₁,02) and its log-likelihood 1(0₁,02) = log(L(01,02)).
(b) Write R code to generate the data of n = 500 from the mixture pdf f(x) with 0₁ =
10 and 0₂= 3.
It
(c) With the data generated above, write an R function, like (0₁,02), for I(0₁,02).
(d) Write an R code to show the 3-D plot of 1(01,02).
(e) Write an R code to show the contour plot of 1(0₁,02).
(f) Using the numeric method, write an R code to find the MLE (maximum likelihood
estimates) of 0 = = (0₁,0₂).
(2) Write R code to implement cimnla hacic stochastic
C
3. Following the same setup and/or data generated from Problem 1 and Problem 2,
answer the questions below using simulation based methods with a sequence of n =
104 iterations:
1
π 1+(x−0₁)² is a pdf of
X
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wwwww
search to find the
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Mr. Dasharath
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Transcribed Image Text:Insert Design Layout
Painter
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English (India)
12
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References Mailings Review View
BI U abe X₂ X² A. ab A-
Font
A A
Q Search
Aa A
:3
2023-f1-7685-8685 - Word
WPS PDF
Paragraph
2. Let X be a random variable with pdf
f(x) = pf1(x) + (1 − p)ƒ2(x),
which is a mixture of two pdf's fi(x) and ƒ2(x) where f1(x) = //
1
(x-02)²
-
2
=
L
Tell me what you want to do...
e
¶¶AaBb CcD AaBb CcD AaBbCc AaBbCcD AaB
1 Normal
¶ No Spac... Heading 1
Heading 2
Title
Cauchy distribution and f2(x)
1
√2T
is a pdf of a' normal distribution. The
parameter of interest is ₁ and ₂ to be estimated from the data of size n, X₁, Xn,,Xn.
For simplicity, we assume p = 0.2 and n = 500.
(a) Write the likelihood function L(0₁,02) and its log-likelihood 1(0₁,02) = log(L(01,02)).
(b) Write R code to generate the data of n = 500 from the mixture pdf f(x) with 0₁ =
10 and 0₂= 3.
It
(c) With the data generated above, write an R function, like (0₁,02), for I(0₁,02).
(d) Write an R code to show the 3-D plot of 1(01,02).
(e) Write an R code to show the contour plot of 1(0₁,02).
(f) Using the numeric method, write an R code to find the MLE (maximum likelihood
estimates) of 0 = = (0₁,0₂).
(2) Write R code to implement cimnla hacic stochastic
C
3. Following the same setup and/or data generated from Problem 1 and Problem 2,
answer the questions below using simulation based methods with a sequence of n =
104 iterations:
1
π 1+(x−0₁)² is a pdf of
X
Styles
wwwww
search to find the
((((
0
W
ENG
US
5
Mr. Dasharath
Find -
ab
Sac Replace
Select -
Editing
20
18
04-11-2023
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