Invariance property of consistent estimators || Explained with examples || (In Hindi)

[@guruji885]

Behtareen sir

[@shabirahmadedu4838]

Bundle of thanks for Pakistan Sir Gee

[@pashtoghazal4638]

Special thanks to sir T.K panday
Yesterday was my interview for lecturer in statistics k.p public service commission
Invariance property question was asked by A Dr in statistics from university
And I respond very well
I learnt from ur lecture
Great sir
TK panday is outstanding teacher from India no one can explain like u sir

[@statslearn]

All the best

[@pashtoghazal4638]

@@statslearn
Sir plz only one question
Response me plz
Is MLE will b consistent all the time
And will b efficient and sufficient all the time are will b in some particular cases

[@statslearning]

MLEs are always consistent and sufficient.. but not necessarily efficient and unbiased.

[@SandipKumar-cd2ih]

Very informative classes sir🙏

[@Muhammad_Ali_academy]

Excellent 👍

[@agrawalclassesmathura8152]

This session is mind blowing. Sir my request is plzz solve more question

[@statslearning]

I will. Thank you for your support. Please share this channel among other Statistics students. Keep watching.

[@Raju-tf5rx]

Sir please upload quikly
spRT mean sequentionly probability Ratio test

[@MelodicBeatsHub]

best explanation 👍👍

[@statslearning]

Thank you for your support. Please share this channel among other Statistics students. Keep watching.

[@chayanikasarma9109]

What is marginal and joint consistency??

[@Saamm-xd]

Thanks a lot sir.

[@statslearning]

Most welcome

[@alamgirshikdar4572]

Wow sir

[@tusharmishra6702]

Why did we take μ +1 incase of consistent estimators rather than μ square(like theta square)

[@sanskritijain6469]

Thanks sir

[@pashtoghazal4638]

Believe me sir u r RA Fisher