The Method of Moments ... Made Easy!

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.
Buy my full-length statistics, data science, and SQL courses here:
linktr.ee/bria...

[@JL-vg5yj]

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

[@Xorked]

Best video I've seen on this, thank you

[@JereLafanama]

Bro , you are life saver.

[@TheAlen081]

Shoutout to educational yt 📈

[@statswithbrian]

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

[@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 RUclips has been great!

[@statswithbrian]

@@arzelaascolitheorem thank you, lots more RUclips videos to come

[@RoelofvanWyk]

great video

[@rumi_mirza]

Amazing explanation

[@sarahdonnelly5236]

Thank you!!

[@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!

[@hannahivanovaa]

thank you so much!

[@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