This is my question: Find the Maximum Likelihood Estimator for(adsbygoogle = window.adsbygoogle || []).push({});

f(y / x) = (x + 1)y^x, 0 < y < 1 and x > -1 OR 0, elsewhere.

I think this is how you get started, but I get confused. I'm not sure how to continue.

The likelihood function defined as the joint density of Y1, Y2, ...., Yn evaluated at y1, y2, ..., yn is given by

L = product from i = 1 to n of (x + 1)(yi^x) = (x + 1)^n * product from i = 1 to n of (yi^x).

I'm sorry for the notation. Any help is obviously appreciated.

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# MLE (Statistics)

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