| 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 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 | |