Suppose that Y1, ..., Yn - Poisson (^), A> 0, are independent. Prove by calculation that the common point probability function of the random vector Y = (Y1,..., Yn) has the representation ƒ(y; A) = e¯nλ_At(y) n II ²=1 Y₁!' where t(y) = Σ²²±1 Yi · Continuation of the previous task. Suppose n = 4 and it is observed y = (y1, y2, y3, y4) = (5, 6, 2, 5). Calculate the value of the function A 7→ f (y; λ) at a few points between [0, 7] (even at all integer points) and Draw its graph (of course you can also draw the graph with e.g. R). Note: You can multiply the values of the function by e.g. 10000 to get to a more comfortable order of magnitude. With the help of the picture you have drawn, estimate which value of the parameter A has the highest probability of observations? Note: The function A 7→f (y; A) is often denoted L(^; y) and is called the credibility function of the model.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

Show step by step calculation. Please calculate everything and give the final answer and also do the graphic. (No explanation needed)

Suppose that Y1, ..., Yn - Poisson (^), A> 0, are independent. Prove by
calculation that the common point probability function of the random vector Y =
(Y1,..., Yn) has the representation
ƒ(y; A) = e¯nλ_At(y)
n
II ²=1 Y₁!'
where t(y) = Σ²²±1 Yi ·
Continuation of the previous task. Suppose n = 4 and it is observed
y = (y1, y2, y3, y4) = (5, 6, 2, 5). Calculate the value of the function A 7→ f (y; λ) at
a few points between [0, 7] (even at all integer points) and Draw its graph (of
course you can also draw the graph with e.g. R). Note: You can multiply the values
of the function by e.g. 10000 to get to a more comfortable order of magnitude. With
the help of the picture you have drawn, estimate which value of the parameter A
has the highest probability of observations? Note: The function A 7→f (y; A) is often
denoted L(^; y) and is called the credibility function of the model.
Transcribed Image Text:Suppose that Y1, ..., Yn - Poisson (^), A> 0, are independent. Prove by calculation that the common point probability function of the random vector Y = (Y1,..., Yn) has the representation ƒ(y; A) = e¯nλ_At(y) n II ²=1 Y₁!' where t(y) = Σ²²±1 Yi · Continuation of the previous task. Suppose n = 4 and it is observed y = (y1, y2, y3, y4) = (5, 6, 2, 5). Calculate the value of the function A 7→ f (y; λ) at a few points between [0, 7] (even at all integer points) and Draw its graph (of course you can also draw the graph with e.g. R). Note: You can multiply the values of the function by e.g. 10000 to get to a more comfortable order of magnitude. With the help of the picture you have drawn, estimate which value of the parameter A has the highest probability of observations? Note: The function A 7→f (y; A) is often denoted L(^; y) and is called the credibility function of the model.
Expert Solution
steps

Step by step

Solved in 1 steps with 1 images

Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman