truly fantastic video, watched this and immediately popped off on my homework question. shoutout!
@Heisenberg-pr1hkАй бұрын
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
@JereLafanama5 ай бұрын
Bro , you are life saver.
@YseervАй бұрын
No. He is a save lifer
@trolltoll4407 ай бұрын
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)
@statswithbrian7 ай бұрын
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!
@vanessawertheimАй бұрын
thank you so much! this helped a lot 😊
@jwbpark9 ай бұрын
Can you do more of these on MLE, Probability of convergences, Regression etc?
@statswithbrian9 ай бұрын
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.
@arzelaascolitheorem9 ай бұрын
@@statswithbrian Just purchased! Your work on KZbin has been great!
@statswithbrian9 ай бұрын
@@arzelaascolitheorem thank you, lots more KZbin videos to come
@KutloanoMatlaisane5 ай бұрын
this was extremely helpful
@rumi_mirza10 ай бұрын
Amazing explanation
@RoelofvanWyk5 ай бұрын
great video
@sarahdonnelly52364 ай бұрын
Thank you!!
@hannahivanovaa8 ай бұрын
thank you so much!
@existentialrap5217 ай бұрын
Thx, brother. Making this sht feel like 5th grade math. Ez PZ. wazzup then edit: no diddy, cute eyes brother. go get em
@Moment123782 ай бұрын
❤
@TheGibberingGoblin3 ай бұрын
bump
@yahweh17822 ай бұрын
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?
@statswithbrian2 ай бұрын
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