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

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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 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

10
-20
-15
-10
-5
2.
CO
CO
Transcribed Image Text:10 -20 -15 -10 -5 2. CO CO
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