(a) Use the function optim()to compute β^ using initial value (.25,.75). (b) Again, starting with (.25,.75) find the next value when using the Newton-Raphson algorithm. (c) Assume that β0=0, and plot the likelihood function L(β1) as a function of β1. (d) Again, assume β0=0 and compute β^1 using uniroot(), a grid search, and by the Newton-Raphson algorithm. You can use the plot in part (c) to find a good initial value.

can you rephrase the question ? it is unclear : -)

step-by-step explanation:

wth is with the little mtn top and what are you talking about like fix your words and accually make sence with them and i like was in a completly different question like three times like it seems like your ilitteret

step-by-step explanation: given equation a = h(b 1+b 2)

also we are given values of a, h and b 1 as :

a = 16, h = 4, and b 1 = 3.

in order to solve it for b 2, we need to plug the given values of   a, h and b 1 .

therefore, plugging values of   a, h and b 1   in given equation, we get

16 = 4( 3 + b 2)

first dividing both sides by 4, we get

4 = 3 + b 2

subtracting 3 from both sides, we get

4 -3 = 3 -3 + b 2

1 = b 2.

b. is true. hope this . happy