This joint distribution is a function of θ0, θ1, and σ2. When Y1 = y1,...,Yn = yn and X1 = x1,...,Xn = xn are observed, it is called the Likelihood function. Write down this Likelihood function...

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This joint distribution is a function of θ0, θ1, and σ2. When Y1 = y1,...,Yn = yn and X1 = x1,...,Xn = xn are observed, it is called the Likelihood function. Write down this Likelihood function L(θ0,θ1,σ2).

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Answered 1 days AfterNov 09, 2022

Answer To: This joint distribution is a function of θ0, θ1, and σ2. When Y1 = y1,...,Yn = yn and X1 = x1,...,Xn...

Baljit answered on Nov 11 2022

41 Votes

Negetive log Likelihood parameter for Given data set:
R programming using optim() procedure”:-
Output:-
Paratmeters are:-
So y=1.47+0.2444*x
N(y,0.442)

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This joint distribution is a function of θ0, θ1, and σ2. When Y1 = y1,...,Yn = yn and X1 = x1,...,Xn = xn are observed, it is called the Likelihood function. Write down this Likelihood function...

Answer To: This joint distribution is a function of θ0, θ1, and σ2. When Y1 = y1,...,Yn = yn and X1 = x1,...,Xn...

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