The Method of Moments ... Made Easy!

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This video teaches you all about the method of moments and the intuition behind it, with plenty of examples for the normal, Poisson, and uniform distributions.

[@TheAlen081]

Shoutout to educational yt 📈

[@statswithbrian]

Thank you for my first-ever Super Thanks! :)

[@Xorked]

Best video I've seen on this, thank you

[@zendruoflynstin8275]

Thanks. Never thought it would be that easy.

[@Heisenberg-pr1hk]

We learnt this concept in Probab. And Random Signal Princ. lecture and now I am trying to use it on the antennas, good explanation thanks

[@JL-vg5yj]

truly fantastic video, watched this and immediately popped off on my homework question. shoutout!

[@vanessawertheim]

thank you so much! this helped a lot 😊

[@JereLafanama]

Bro , you are life saver.

[@Yseerv]

No. He is a save lifer

[@KutloanoMatlaisane]

this was extremely helpful

[@jwbpark]

Can you do more of these on MLE, Probability of convergences, Regression etc?

[@statswithbrian]

Many more videos to come - there will definitely be one on MLE in the next few months. If you want to learn about MLE now, there's a link in the description to my mathematical statistics course which covers MLE.

[@arzelaascolitheorem]

@@statswithbrian Just purchased! Your work on UA-cam has been great!

[@statswithbrian]

@@arzelaascolitheorem thank you, lots more UA-cam videos to come

[@rumi_mirza]

Amazing explanation

[@kingmoses978]

beautiful

[@trolltoll440]

7:26 would have been easier to use the variance formula for uniform: (b-a)^2/12 and rearrange for E(X^2) = var(X)+E(X)

[@statswithbrian]

Yeah, that’s what I probably would’ve done myself to save some calculus too - for the video I just wanted to emphasize the idea rather than the most efficient method. Thanks for watching!

[@sarahdonnelly5236]

Thank you!!

[@hannahivanovaa]

thank you so much!

[@RoelofvanWyk]

great video

[@existentialrap521]

Thx, brother. Making this sht feel like 5th grade math. Ez PZ. wazzup then
edit: no diddy, cute eyes brother. go get em

[@Moment12378]

❤

[@TheGibberingGoblin]

bump

[@yahweh1782]

I got this question that says let 𝑋 be a discrete random variable where P(𝑋=x) are some function of 𝜃(e.g. 𝜃/2, 1-𝜃) for some number x, and it ask "Find the Method of Moments Estimator of 𝜃 by using 𝑛 copies of 𝑋, where 𝑛 > 1.", what does " using 𝑛 copies of 𝑋" means?

[@statswithbrian]

A sample of size n. They mean the same thing as in this video - set xbar (which is based on the n data points) equal to E(X) which is a function of theta