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Michael Carone
Приєднався 23 лип 2013
Conditional Expectations
In this video we discuss conditional expectations and solve a problem from the P exam.
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Відео
How to Record Screen Captured Videos
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In this video I show everyone the programs needed and some of the hardware I used to record these videos.
Continuous and Discreet Random Variables
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In this video we discuss the three major distributions found on the P exam.
Moment Generating Functions Part 2
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In this video we use some knowledge of random variables to speed up our solution to the previous problem.
Moment Generating Functions Part 1
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In this video we define and look at some properties of MGFs and their uses on the P exam.
Single Variate Expected Values
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This will be the first video in our series of video lectures followed by MGF part 1, MGF part 2, Distributions, and Conditional Expectations.
Thank you so much! Could you explain why we do 4 times variance?
Good work
i think i will stick to the first way haha
It's very interested lecture
What is t?
nice sound
Great video! Really very helpful!
"Jesus zoidberg" from the fist video xDDDD
What does tX mean sir? Is that t times X?
the wallpaper lmao
Almost a good video, but the result of your integral is missing a key step: the assumption that t < lambda.
thanks, i have been searching this around fortnight. This helps me a lot
I skipped this video earlier......but finally I end up with this ..... Thanks a lot sir😍👌👍
It is really helpful. Just create more videos. I like the way you teach.
What is 't' here
It was set, t=0
good
how to find the 3rd and 4th moments here.. the first will be E (x) second will be var (x) .. amd how to find this 3rd E (x^3) and E (x^4)?
Thank you so much!. This helps me a lot!
this is the best video i found on youtube for this subject , what are the dislikes for
not very clear at all
Not mathematical enough
For people that are slightly confused, he does teach this topic very very well, especially compared to my uni's lecture slides and lecturer. The beggining , is finding the MGF of continuous variable/disribution. Pay close attention, and you will see finding the MGF is very easy integration, then just subbingg t=0 to into the derivative, to find expectation/mean.
Hehe, yeah we are able to use calculators during exam, in our dreams. Lol
I have this shit in my Software Engineering degree. Like. I like maths and all. But this course being there in my third year instead of how to make computer software. Kill me.
Thanks
Thanks mr Carone :)
and is the domain for fx(x|y) is (0,1) or (0,y)?
question: for margin of y, what are the upper and lower bound for x ? is it (0,1) or (0,y)?? thanks!!
not clear, the first video was much batter!
I'm in first year and I already have coursework on this topic 😭😭
Same for Hong Kong Student :( without calculus background needed to take the course as the name-intro for stat.
you have very bad voice,please someone else to record.
You have bad comments
Can anybody help me with 3rd 4th and 5th origin moments? pretty please :$
Are we assuming that lambda is greater than t in the first integral on the pdf? I don't see how else it converged to lambda/(lambda - t). And if so, why do we assume this?
Brilliant work
awesome! this is really good! highly recommend! this is the best one! Thank you:)
first video = excellent, this one = BS.
veryyy verrry owwwssssm video sir
what the test book called?
This video confuses me
Very helpful...even more than a lecture! Thank you and keep posting more...
I don't understand how the first differential is lambda/ (lambda-t). Should it not be lambda/(t-lambda)?? Could someone pls explain this to me?
You can multiply by -1
The integral is -lamda(t-lamda)
Thanks to your video i could solve my homework! Very grateful!
nicely explain and more understandable with this expample
Your video was very helpful and my textbook is very poorly written
Wasn't the E(x) in the last video equal to 10,000? I think you forgot to multiply it by 4
yes, he forgot to do that this time
Great video, short but to the point, definitely worth watching!
#gratitude....:)
awesome work guy....
U r amazing thank u so much
Just FYI, this is now problem 48.13 in the actuary book at atu.edu/mfinan. Just do a control+f in case it changes again.