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(SP 16.1) Definitions: Estimator, Bias and Mean Squared Error (MSE) 

Stochastic Systems AAU
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In this video we introduce estimation problems, define its elements (unknowns, data, and estimator functions) and the main measures of performance of the estimators.

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7 сен 2024

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Комментарии : 9   
@frazulabrar9398
@frazulabrar9398 2 года назад
Wonderful! The instructor knows how to teach indeed! Thanks.
@mihavatovec5770
@mihavatovec5770 4 года назад
Here is a teacher that probably didn't realise in his life that he is a genius in teaching
@rohanghige
@rohanghige 6 лет назад
Watch at 1.25x. Thank me later. Nice explanation Sir.
@trackmyactivity
@trackmyactivity 6 лет назад
You are a great teacher!
@mahnoorkazi933
@mahnoorkazi933 3 года назад
He wrote Estimation error as (Q^ - Q) first then in MSE he wrote (Q-Q^)..????
@risydafuadah967
@risydafuadah967 3 года назад
it doesnt matter anyway, the value in mse wil be squared
@908572813
@908572813 4 года назад
well done lesson
@lemyul
@lemyul 4 года назад
I need this for Bayesian class. thank you sto
@marew789
@marew789 5 лет назад
you are genuis.
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