Method of moments estimation

I define and illustrate the method of moments estimator. I find the MOM estimator for the exponential, Poisson and normal distributions.

[@sanafarahani6472]

Thank you! i was looking for a solution abbout how to calcualte the second moment. you explained well.

[@himakshibutan8928]

This is great! Thank you!

[@sundasrauf581]

Thank you so much sir for such a good lecture ☺️

[@lukasdeveaux9676]

thank you so much, finally understood it

[@user-mh9eh2wl5n]

بارك الله فيكم وجزاكم الله خير الجزاء

[@nemathassnain8522]

Thank you so much!

[@markaustin8923]

Thank you for this lecture....but where can we find your reference book?

[@edaemanet26]

thanks sir

[@Henry4pf]

🐐🐐

[@bobsagget9212]

What the fuck is a moment

[@everyzylrian]

The kth moment of a random variable X is E(X^k), so the first moment is E(X^1) = E(X).

[@bobsagget9212]

@@everyzylrian are moments numbers

[@t_mini5371]

@@bobsagget9212 They are expected values.. for example the mean. higher order you have variance kurtosis etc