Moment Generating Function - Part 1

In this video we defined MGF and derived MGF of Exponential, Uniform and Bernoulli distributions to find their expectation and variances.

Thank you

[yingying-pw]

Best explanation about MGF! Thank you!

[maknncheese]

you explained this 100x better than any of my professors, textbooks and lessons. i wish i found this video sooner, thank you sm

[tehrOybOy]

Finally, someone who actually does the math using the actual pdf/pmf of a random variable and shows their work. Like another commenter stated, "a gentle explanation". Thanks!

[BetoAlvesRocha]

Mate, you have no idea of how long I've been looking for a gentle explanation about Moment Generating Functions. I've searched in portuguese, spanish and english; and just here, in your channel, I could finally find something that put me in the game.

Thank you so much for that, my friend!

Greetings from Brazil!

[abrar]

Excellent breakdown - the book we use in class is dense and somehow still not good at explaining. the professor glosses over important basic concepts, leaving me frustrated and confused as to the how this is relevant. your video was awesome at explaining everything, including the concepts in between. thank you!

[Befeked-ybjv]

I admire you for clear explanation, from Ethiopian

[Rayan-luyo]

WOW, the greatest video on moment generating functions. I couldn't understand all the other videos on this topic.

[MD-brmy]

15:34 isn’t expected value of uniform dis = (a+b)/2

[stevendovi]

You are the best. By may you improve in terms of clarifying well coz some of us are slow learners

[sammymendis]

brilliant. finally i get this one! didn't make any sense before. I thought it was too hard but not anymore

[JosephAMuniz-hmjh]

Everything was fantastic until about @15:30. If we use L'Hospitals rule and plug in zero for t, don't we just get (b-a)/(b-a) = 1? I've not a clue how you got (1/(b-a)). :(

Great video otherwise.