Suppose that x1, , xn form a random sample from the Bernoulli distribution with parameter , which is unknown, but it is known that lies in the open interval 0 1 Show that the M L E of does not exist if every observed value is 0 or if every observed value is 1 ...

Let y denote the sum of the observations in the sample Then the likelih ...

Suppose that x1, . . . , xn form a random sample from the Bernoulli distribution with

Question:

Suppose that x1, . . . , xn form a random sample from the Bernoulli with parameter θ, which is unknown, but it is known that θ lies in the open interval 0 < θ <1. Show that the M.L.E. of θ does not exist if every observed value is 0 or if every observed value is 1.
Distribution
The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...