Hello tutor, can I please get your help with the following stats?

Consider a random sample of size n (i.e, a set of i.i.d. r.v. X_1, X_2,......, X_n) from a two-parameter distribution with parameter unknown and parameter known. The density function of , =1,..., is:

(a|,) = 1/{(/}, <

How would you find the joint density function f(x_1, ..., x_n) and then maximize that function to obtain the value of the theta parameter that would maximize the joint density function.

Which is that value?

Maximizing a function with respect to some variable is assumed known. The variable here is theta. And, in fact, the only probability required here is the concept of joint density function. View the posted lecture video and other examples I might do during the office hours.

Answer Choices:

a. =()/

b. =/

c. =

d. =