1. Maximum Likelihood Estimation Basics

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Maximum likelihood is a method of point estimation. This video covers the basic idea of ML.
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I need the MLE for my thesis in trade! You made it really clear and easy for me to understand! I literally didn't even know what that is and now I'll use it for my estimation. THANK YOU

HH-moug
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Thank you! needed a quick recap and this helped. The software that you are using is amazing!

vince
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You are so awesome! I wish I could sit in your classrooms!

richardparker
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Impressive...How do you do that. It is amazing. Well, Thank you, your videos are excellent.

MrCigarro
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Please make a vedio on "sufficiency or sufficient estimator ".

murtizaali
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You used theta as the parameter here. Does this theta hold the same meaning as lambda for a Poisson distribution?

danielbhc
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Thank you! very presentative and intuitive explanation

dannybutvinik
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i have tried to understand stats .. but not my cup of tea. :(

sharzilkhan
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Super helpful tutorial! Thank you so much :)

RazikhShaik
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Thanks for you great job ! It's so helpful.

danieljimenezflores