วีดีโอ

Hi, why in minute 20:10 you wrote an x in x-1, isn't the partial derivative of mu just 1?? and then, you cancel -1 with -1 which has no sense for me, can you explain your reasoning there please?

excellent❤❤

So good and well-explained! Love it! Thank you!

Looking for MGF for Geometric

You explain nicely..I would be grad if you upload more

Nice

Appreciated much your explanation! ❤️

please continue, this is fantastic

Welcome back

Oh! One more thing, your accent is too cute! It reminds me of the baby who said to his daddy- I did't poop, I peed. 🥹

এতদিন কোথায় ছিলে ওস্তাদ! খুব সুন্দর ডিসকাশন- টু দ্য পয়েন্ট, ক্লিয়ার। ভালোবাসা নিও।

বদ্দা! আপনি সেরা! 👑

অসংখ্য ধন্যবাদ। 💟

15:44 haha! Ypu are such a charming person... Love you!

Are you planning to complete this mean-variance of diff dist series? Btw you are one the best stat teacher on TH-cam. Thanks for your effort!!! 👑

Omg!!!!! New video!!!! I always come to this playlist before my exam, and seee... here is a new and important one. I used to get confused while practising this particular problem. Specially on-- why to minimize b, we take the maximum value of the data set!! But now the whole thing make sense! You are awesome!! Take love...

I am following George G Roussas's book An Intro to prob and stat inf (2nd ed). At 24:50 the way you write sigma square hat, i.e. 1/n sum_{1}^n(xi - x bar)^2 = (1-1/n) S_{n}^{2} .. Roussas in page 296 at exercise 1.12 part (iv), writes 1/n sum_{1}^n(xi - x bar)^2 = Sx .. which notation is correct ?

Any tricks

This was clear and straight forward, bravo 🤌🏾🔥

Why do we use the product

Thanks mate this video is great. Keep it up

Needed this, life save👍

How can we find the expectation given the characteristic function?

How can we find the expectation given the characteristic function?

I like videos bcs you explained it In detail. Can you make a exercise video about confidence interval and pivot methode (bain chapt 11.2)😁

Bravo, great work thanks

Amazing video

best video on maximum likelihood

Thanks sir❤

sir plz also upload gamma distribution MLE and MGF , mean and variance proof as soon as possible

Nice video sir helps me a lot 😍from indian

Great video! Ty so much!

Amazing, thank you so much for these derivations.

The best explanation on youtube. Thanks.

এই টপিকটা নিয়ে যতটুকু কনফিউশন ছিলো সব দূর করার জন্য অসংখ্য ধব্যবাদ। ভালোবাসা নেবেন।

থ্যাংক ইউ ভাই।

Hello. Do you have an example program for this case in Matlab?

I love this thankyou sir 🙏

❤❤❤this is superb

Ww you're th best ❤

Well explained thank you 👏🏽

bravo. you explained what my professor took in 6 hours to explain in 6 minutes. thank you 🙏

super standard

2:15 why is it all the way up to n? I thought the n was the number of RVs not the number of outcomes of a particular RV

Thank you for this! Could you please please do the same for power law?

Thanks sir

I'm wondering what happened at 21:30, the 1/sigma^2 is gone.

thank you so much ,really helped please continue doing more videos

Thanks a lot. You make the world a better place to live.

Thank you so much for this!