filmov
tv
E1.2 Random Variables and Random Vectors (Econometrics Math)
Показать описание
In this video, I explain what random variables and random vectors are, giving two examples of how using random variables/vectors can make the analysis of a problem more concrete.
0:06:50
E1.2 Random Variables and Random Vectors (Econometrics Math)
0:02:31
E1 Discrete Random Variables (probability distribution table)
0:01:59
D3) What means independent and identically distributed (iid)?
0:11:41
E1.4. Expectation and Variance of a Random Variable (Econometrics Math)
0:57:04
Tutorial 1 - Random variables and probabilities
0:04:57
E12 Continuous Random Variables (graph for probability density function)
0:22:11
Minimums and Maximums (SOA Exam P – Probability – Multivariate Random Variables)
0:20:08
4.1 & 4.2 Multiple Random Variables and Joint Distribution (CDF)
1:24:12
Lec-05 | Assignment Discussion | Probability and Random Variables | GATE 2025 | Ankit Goyal
0:14:32
Continuous Random Variables: Mean & Variance
0:00:59
10.5 - Expected Value and Variance of Two Random Variables
0:05:54
E2.1 Discrete Random Variables (probability, mode, median )
0:50:40
Lecture 9 Random Variables
0:08:19
Probability density function of a continuous random variable example 4
0:05:54
Random Variable - Probability
0:12:06
S4:E1 What is a random variable?
0:11:08
Discrete Math 2 - Tutorial 11 - Discrete Random Variable
0:27:26
mod04lec31 - Types of Random Variables
0:12:20
More Joint Continuous [Normal] Random Variables
0:08:52
Let X and Y be two random variables each taking values -1,0 and 1 and having the joint probability..
0:14:59
Probability - Independence of Random Variables
0:00:59
10.4 - Independent vs Dependent Random Variables
0:03:29
Multivariate random variables definition
0:07:39
Find expectation and variance of random variables - a simple example
Комментарии