Using the optim() procedure, obtain the MLEs θ0 and θ1 and σ, respec- tively (the true parameters with which the data q2_growth.csv was gener- ated are θ0 = 1.5, θ1 = 0.2, and σ = 0.4). Do your...

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Using the optim() procedure, obtain the MLEs θ0 and θ1 and σ, respec- tively (the true parameters with which the data q2_growth.csv was gener- ated are θ0 = 1.5, θ1 = 0.2, and σ = 0.4). Do your estimates approach these values?

q2growth-l4kp0oh3.csv

Answered 1 days AfterNov 09, 2022

Answer To: Using the optim() procedure, obtain the MLEs θ0 and θ1 and σ, respec- tively (the true parameters...

Baljit answered on Nov 11 2022

54 Votes

Maximum parameter for Given data set:
Since optim() minimize the likelihood so we have used negative likelihood in order to maximize it
R programming using optim() procedure”:-
Output:-
Paratmeters are:-
So Our Calculated parameter are almost equal to the true values of the MLE.

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Using the optim() procedure, obtain the MLEs θ0 and θ1 and σ, respec- tively (the true parameters with which the data q2_growth.csv was gener- ated are θ0 = 1.5, θ1 = 0.2, and σ = 0.4). Do your...

Answer To: Using the optim() procedure, obtain the MLEs θ0 and θ1 and σ, respec- tively (the true parameters...

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