4. Probability maximization: We have independent random variables X and Y with distribution X Poisson (p) and Y~ Poisson (20), and observations x = 2 and y = 5 of these. (a) Show that the expression for the log-likelihood function is given by: l(φ) Plot 1() for values of € [0, 10] (a rough sketch is OK). For what value of does l() have its maximum? (b) Calculate the probability maximization estimator for the observed values x = 2 and y = 5. = [5 ln (2) In (2!) − ln (5!)] + 7 ln - 30. -

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4a)

4. Probability maximization: We have independent random variables X and Y with distribution X~
Poisson (p) and Y~ Poisson (20), and observations x = 2 and y = 5 of these.
(a) Show that the expression for the log-likelihood function is given by:
ι(φ)
[5 ln (2) In (2!)
In (5!)] + 7 ln p – 30.
Plot 1() for values of € [0,10] (a rough sketch is OK). For what value of p does l() have its
maximum?
(b) Calculate the probability maximization estimator for the observed values x = 2 and y = 5.
=
Transcribed Image Text:4. Probability maximization: We have independent random variables X and Y with distribution X~ Poisson (p) and Y~ Poisson (20), and observations x = 2 and y = 5 of these. (a) Show that the expression for the log-likelihood function is given by: ι(φ) [5 ln (2) In (2!) In (5!)] + 7 ln p – 30. Plot 1() for values of € [0,10] (a rough sketch is OK). For what value of p does l() have its maximum? (b) Calculate the probability maximization estimator for the observed values x = 2 and y = 5. =
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