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The Rao-Blackwell Theorem Explained 

Learn Statistics with Brian
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5 окт 2024

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Комментарии : 6   
@RoyalYoutube_PRO
@RoyalYoutube_PRO 19 дней назад
Thanks a lot for making this... Very very helpful
@jakeaustria5445
@jakeaustria5445 19 дней назад
Thank You
@kelvinwannnn7594
@kelvinwannnn7594 2 дня назад
You made a great explanation better than my professor! Can you make a Video about completeness statistics ?
@statswithbrian
@statswithbrian 2 дня назад
I'm thinking about it - someone requested a minimal sufficient statistic video today, so I might create a playlist with a short video on completeness.
@andrashorvath2411
@andrashorvath2411 18 дней назад
Great video, only let me express to you that you jumped a huge step when introducing the Poisson equation into the one that simplifies to ((n-1)/n)^t. Why did you transform the probability formalization into that equation? A huge step and I think many might lost the track here. It would be nice if you added the explanation in a comment. Thanks.
@statswithbrian
@statswithbrian 18 дней назад
The data follows a Poisson distribution, so anything would need to be eventually translated into something involving the Poisson formula. It relies on the fact that X1 follows a Poisson (lambda) distribution, sum of x2…xn follows a Poisson ((n-1)lambda) distribution, sum of x1…xn follows a Poisson (n*lambda) distribution
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