Mod-12 Lec-12 Sufficiency

[@lac2275]

Awesome lecture. I liked the fact you explained not just how to find a sufficient statistic, but how it will help in estimation via simulation....many other videos focus on merely telling what is a sufficient statistic, but not how to use it.

[@michealoguntola702]

Thank you sir for the lecture...But for the second example involving poisson distribution, in the final answer you left out 1/n^t. Please confirm this. Thank you sir

[@diangu3555]

This series of statistics lecture is more than awesome!! One minor suggestion, could you group this series of videos and rename the video title so that audience could access it more easily by searching (from renaming title) and get them all (through grouping)? thanks!!!!

[@AshishKumar-wb6hw]

they official site where you can acces free video..nptel online course

[@aditisinghxd]

These lecture videos have been provided by NPTEL (a scheme under Government of India). Go to nptel.ac.in/courses and search for Statistical Inference course under Mathematics. This is Lecture 12 of the same series.

[@krupor3853]

Thank you so much that you can to divide idea to most people.❤️❤️❤️#I come from Thailand.sir.

[@krupor3853]

I am theacher Por. Porpieng.

[@mcveigh1983]

Many thanks, very good lecture!!

[@RoungYul]

Really great respected Professor

[@aditisinghxd]

At 29:30 how did the professor go from double expectation to expectation of delta theta?

[@lowend29]

By the definition of sufficiency, E[delta(X) | T=t ] is independent of theta. Expectation of a constant w.r.t theta is the constant itself.

[@lokanandbaychu]

we need to free t from the parameter.... that is going to free our data points ty

[@dimjon11]

some good vibes going on here

[@rutujapatil9930]

How to find sufficient statistics in case of sample size is 1

[@matinhewing1]

Excellent lecture.

[@ashutoshsingh1808]

thanks a lot sir for these concepts

[@ankitseth5676]

Where is the term n^t in Poisson example (19:14) ?

[@aditisinghxd]

Yeah that's a mistake. Even I was confused at the time. Worked the sum again to find that out😅

[@maithamaaid8010]

thanks that is very helpful appreciate.

[@chinedueleh3045]

Nice explanation...thanks

[@Sytch]

Great lecture, thank you.

[@lac2275]

How is knowing P(X|T) different than P(X|theta) ?

[@abhi220]

which book is he following?

[@myungsoopark4132]

thx from korea

[@edwardraywer4198]

Thanks...

[@lesegomokgabudi5798]

thanks sir

[@arpitkumarmishra4968]

thanks sir