we are given independent random variables X and Y distrubuted: X ∼ poisson(θ) , Y ∼ poisson(2θ), and observations x = 3 and y = 5. Show that the expression for the log-likehood function is given by: l(θ)=[5ln(2)−ln(3!)−ln(5!)]+8lnθ−3θ. Make a rough sketch of l(θ) with valeus from θ [0,10]. For which values of θ does l(θ) reach maximum. Estimate the likelihood maximation estimate θ* for the observed values x= 3 and y= 5
we are given independent random variables X and Y distrubuted: X ∼ poisson(θ) , Y ∼ poisson(2θ), and observations x = 3 and y = 5. Show that the expression for the log-likehood function is given by: l(θ)=[5ln(2)−ln(3!)−ln(5!)]+8lnθ−3θ. Make a rough sketch of l(θ) with valeus from θ [0,10]. For which values of θ does l(θ) reach maximum. Estimate the likelihood maximation estimate θ* for the observed values x= 3 and y= 5
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter4: Polynomial And Rational Functions
Section4.3: Zeros Of Polynomials
Problem 54E
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we are given independent random variables X and Y distrubuted: X ∼ poisson(θ) , Y ∼ poisson(2θ), and observations x = 3 and y = 5.
Show that the expression for the log-likehood
l(θ)=[5ln(2)−ln(3!)−ln(5!)]+8lnθ−3θ.
Make a rough sketch of l(θ) with valeus from θ [0,10]. For which values of θ does l(θ) reach maximum.
Estimate the likelihood maximation estimate θ* for the observed values x= 3 and y= 5
![10
-20
-15
-10
-5
2.
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Transcribed Image Text:10
-20
-15
-10
-5
2.
CO
CO
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