3.4.1 Monotonic Transformation of Random Variables

Transformation of Random Variables
Consider three transformation cases:
Part 1 (3.4.1) Monotonic Transformation of Random Variables
𝑋 continuous, 𝑇 Continuous, monotonically (increasing, decreasing)
Part 1 (3.4.2)
𝑋 continuous, 𝑇 Continuous, but non-monotonic
𝑋 discrete, 𝑇 Continuous
To get the slides and additional resources, the course webpage
sites.google.com/view/muqaibe...

[@saranshsaxena3956]

Simple and Organized. Thank You.

[@frankkkmate4267]

thank you soooooooooooo much sir, I finally understands this whole concept by just looking for 5 mins of your video...it is much more useful than my lecturer's dry explanation, where she was just reading the slides with a emotionless tone...

[@alimuqaibel7619]

you are most welcome

[@bader2017]

E[Y] = 7 * [ sgma(x)^2 + (X bar)^2 ] = 63 ?