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Finally, a tutorial I understood! Thanks, Phil
Can you do a video on complete sufficient statistic?
Plz explain sufficient statistic for uniform distribution
it's more of mle. if the range is x> theta, then ss is min(xi). if x
Which book is that, dude?
try Casella and Berger,
why h(x)=1?
everything else has a parameter aka g(T) = pdf, thus h(x) = 1.
Finally, a tutorial I understood! Thanks, Phil
Can you do a video on complete sufficient statistic?
Plz explain sufficient statistic for uniform distribution
it's more of mle. if the range is x> theta, then ss is min(xi). if x
Which book is that, dude?
try Casella and Berger,
why h(x)=1?
everything else has a parameter aka g(T) = pdf, thus h(x) = 1.