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really helpful

This is a great lecture. I would just recommend your increasing the size of your hand writing. It would make your videos more accessible. Could you do a video on the semantic meaning of what a moment is in the context of probability? It would be even cooler if you tied what a moment was to the laplace transform.

Thank you! That was very helpful

You did a great job sir.

I think you are missing the point of COMPLETE SUFFICIENT statistic. Rao-Blackwell theorem doesn't provide the best unbiased estimator with minimum variance, it proves that an unbiased estimator based on a sufficient statistic will be a better estimator than any unbiased estimator when that unbiased estimator is conditioned on the sufficient statistic. But to prove that it is the BEST UNBIASED estimator, it must be a function of a Complete Sufficient Statistic, according to Lehmann-Scheffe theorem.

Thanks so much,,,, This made me understand the theorem in just a few minutes.... I like your teaching style and now I am going to watch all of your videos

Thank you for your patience in going through all the details on this. I am now able to solve the questions on my own.

this video heat🔥🔥🔥

Thanks for this prof

thank you!! It really helped

Can we get the pdf,,pls

Professor, I really enjoyed your videos. Please make videos on STAT 712 and STAT 713. :D Thank you

At 18:38, the binomial coefficient is incorrect.

From wikipedia, the MGF of negative binomial is en.wikipedia.org/wiki/Negative_binomial_distribution#:~:text=In%20other%20words%2C%20the%20negative,failures%2C%20and%20successes%20are%20integers which is different from the MGF you have obtained using the geometric distribution. There are 2 different MGF for geometric distribution. en.wikipedia.org/wiki/Geometric_distribution. The one that fits the negative binomial distribution is the geometric distribution with the PMF of (1-p)^k * p.

Thanks for the lectures..may I know what book are you following.. regards

Thank you. I get that these are lecture videos but I wish we could have more. They are easy to follow and well organized. have a good day.

Really good! Do you have a lecture on confidence intervals??

Amazing lecture. can you please upload a complete playlist on mathematical statistics? Thank you

░p░r░o░m░o░s░m░ 😚

You're such a great professor. Hope to watch your other videos.

Excellent 👌👌🇮🇳🇮🇳

Hi, I was wondering if you could send me your document? :)

clear explanations and examples. Thank you more vedios

great lecturer thanks prof .please kindly add more videos' like exponential family ,Bayesian estimation ,Hypothesis thanks again

do you have more videos on statistics?

what about complete and minimal statistics?

Awesome explanations and examples. Thank you!

Thanks, helped a lot .

Thank you 😊 🙏 sir . You explained it very well

Good!

do you have any more lectures?

Haha, yes :)