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Chapter 1: Sampling theorems
1 - Introduction To The Theory Of Probability [59:49]
2 - Axioms Of Probability [59:49]
3 - Axioms Of Probability (contd.) [59:51]
Fast Decoupled Load Flow
Chapter 2: Conditional probability
Axioms Of Probability (contd.)
3 - Axioms Of Probability (contd.) [59:51]
6 - Conditional Distribution And Density Functions [59:55]
Oscillator With External Forcing
Chapter 3: Mean
Mean And Variance Of A Random Variable
Module - 6 Lecture - 5 Work And Energy - Iv
Automatic Generation Control
Newton Raphson (nr), Load Flow Method
Chapter 4: Mode and standard deviation
Mean And Variance Of A Random Variable
Chapter 5: Random variables
4 - Introduction To Random Variables
Mean And Variance Of A Random Variable
Review Of Probability Theory And Random Variables
Chapter 6: Discrete and continuous distributions
Probability Distributions And Density Functions
6 - Conditional Distribution And Density Functions [59:55]
Resonance
Msi And Lsi Based Implementation Of Sequential Circuits (contd)
Chapter 7: Poisson
Probability Distributions And Density Functions
Load Flow Analysis (contd.), Gauss Siedel Method
Msi And Lsi Based Implementation Of Sequential Circuits
Chapter 8: Normal and binomial distribution
Probability Distributions And Density Functions
Module - 6 Lecture - 3 Work And Energy - Ii
Module - 6 Lecture - 4 Work And Energy - Iii
Hvdc (contd.)
Load Flow Problem
Chapter 9: Correlation and regression analysis
Correlation Covariance And Related Innver
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