ML estimate of Poisson and Geometric distribution

#mleexample #poissondistribution #geometricdistribution
mle or maximum likelihood estimation is a method to estimate the parameter of a statistical model by maximizing the likelihood function. This tutorial describes the parameter estimation of poisson distribution and geometric distribution.
How to find the ml estimate of poisson distribution.
How to find the ml estimate of geometric distribution.
Notes:
drive.google.c...

[@furo.v]

Amazing. This is literally the only video/book/article about MLE that I could understand perfectly! Thanks

[@shrutijindal6040]

Your channel is so underrated. Keep it up!

[@eduflairktucs7636]

Thanks, will do!

[@sagaradoshi]

Thanks for the vide..it really helped to understand the concepts. Request you to create a video on MAP estimate of parameters..

[@amosreagan6833]

THANKS FOR THE PRESENTATION. AM HAPPY THAT I HAD FAILED TO UNDERSATND THIS PART BUT I HAVE NOW FULLY GOTTEN IT. M y only request is that you help always explain it all in English because some of us don't understand the other language and yet you might be explaining the part we are most interested in understanding. thanks

[@buvanaanand5962]

Your way of teaching is good and easily understandable. However, I would like to check with you that the second order differentiation will be taken and it should be less than 0 to confirm that it is a MLE. But here it is not addressing about that. Could you please clarify it?

[@satheeshkumarvb3470]

Please teach about basics of ML, AI, and DS, and functions of layers are in NN, CNN, RNN etc.., Mam.

[@nbd_08uma_nandan30]

Very Nice explanation mam .

[@anandiyer5361]

Very nice...well explained. I'm going to subscribe to the channel. I hope to see more videos here!

[@anandiyer5361]

Just a suggestion. You might eventually have viewers from other parts of the country, or even across the globe. So, try to use English as the medium throughout.

[@hemakrishnan4533]

Compute ML estimate for the parameter p in the binomial distribution whose
probability function is
f(x)=( n) px(1-p)(n-x). x and 1-x are exponents. Mam this is a university question of 2018. Can you please put the solution for this.
x

[@jpdan66]

Thanks

[@eduflairktucs7636]

Thank you so much 💖

[@nathanielsackey2083]

I wasnt getting how we got the - nT

[@eduflairktucs7636]

You mean -n lamda in poisson distribution?? or can you please mention the specific time..

[@secretwound4260]

Yes ...can you explain?