Detailed Course on Multivariate Random Variable
Hinglish
Detailed Course on Multivariate Random Variable
Harsh Jaiswal
In this course, Harsh Jaiswal will provide in-depth knowledge of the Multivaraite Random Variable. The course will be helpful for aspirants preparing for IIT-JAM. Learners at any stage of their preparation will ... Read more
Ended on May 13
Apr 20 - May 13, 2024
24 lessons
0 practices
0 questions by educators
Demo classes
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Schedule
Apr 20 - May 13
24 lessons
Apr
20
Definition of Random Vectors. Joint and Marginal C.D.F.S of a Random Vector
Lesson 1 • Apr 20 • 1h 31m
Apr
21
Discrete and Continuous Type Random Vectors. Joint and Marginal P.M.F. Joint and Marginal P.D.F
Lesson 2 • Apr 21 • 1h 34m
Apr
22
Conditional C.D.F Conditional P.M.F and Conditional P.D.F
Lesson 3 • Apr 22 • 1h 32m
Apr
23
Doubt Clearing
Lesson 4 • Apr 23 • 1h 32m
Apr
24
Independence of Random Variables
Lesson 5 • Apr 24 • 1h 35m
Apr
25
Practice session on Joint Distribution Function - Part I
Lesson 6 • Apr 25 • 1h 35m
Apr
26
Distribution of Functions of Random Vectors using Transformation of Variables & Jacobian Method - I
Lesson 7 • Apr 26 • 1h 33m
Apr
27
Doubt Clearing
Lesson 8 • Apr 27 • 1h 36m
Apr
28
Practice session on Joint Distribution Function - Part-II
Lesson 9 • Apr 28 • 1h 30m
Apr
29
Distribution of Functions of Random Vectors using Transformation of Variables & Jacobian Method II
Lesson 10 • Apr 29 • 1h 30m