Two Dimensional Continuous Random Variables | Marginal & Conditional distributions

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This lecture explains how to solve the two-dimensional continuous random variables, marginal and conditional distribution.
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Dr. Harish, your students are blessed! Thank you for explaining the limit of integration and the diagrams. Thank you very much

anneoni
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Thanks a lot sir. This is the only video I have found where the diagrams are actually explained.

gareer
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Relevant region over which we have to integrate to find joint & marginal pdf has been explained brilliantly

shyamsundaragrawal
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Really sir this is most lucent way of explaining the complexities.
Thank you sir for the lecture.

CalmMindOasis-uu
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I think there is a subtle mistake at 11:05, you mistakenly wrote 4 instead of 24, since k was found previously to be 24.
Anyway, Thanks a lot for such nice stuff.

Mehraj_IITKGP
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I was really confused in taking the limits but after watching ur video and making graph for it made the questions really really easy... Thanku so much sir🙏🙏

deepikasaxena
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Your are the best teacher 😀😀📝📝🎊🎊🎊💡💡🙌🏻♾♾, you are infinity, thank you

ghatsakombeparfait
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Thank you Professor Harish for your time and dedication!

LEARNWITHPANDA
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Sir if 1 question is like define variable Z1=xy, Z2=x/y....n then we have to support joint distribution of Z1 and Z2 and derive distribution function of Z1 and Z2

ambikaramola
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Sir, since you read comments, please make videos on solving differential equations using matrix method. I have a mid sem examination of this from 26th September..

vinayaksinghal
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@11:17 while finding marginal functions we have consider k value as 24 but sir u considerd as 4

dudeyt
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thank you sir, you have really given me hope for this subject

bleehblahblue
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Sir can you provide us with moderate to hard level questions on this topic?

Touristtt
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Thanks a lot sir. you have explained everything very clearly. Once again bunch of thanks.❤❤❤

dinushachathuranga
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I think there is a subtle mistake at 11:02, you mistakenly wrote 4 instead of 24, since k was found previously to be -24.

JSONY-ffni
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cant wait for you to make videos on real analysis and time series analysis

algorithmo
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Good Evening Sir, you lesson is amazing, and informative.

CodewithAshwani
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Can we get the slides of this lecture .it would great help for us?

asukumar
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Let X ad Y be jointly continuous random 1 point variables with joint PDF
f(x, y) =
6e-(2x+3y), x, y >0 fz.y (2, 3) = { 0, otherwise, y)

Find P (X > Y).
Sir, I want to clear my concept like these problem
Can u help me

harushah
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I found this type video after struggle 3 hour

I need limit change concept thanks

romiyod