GupShup Study
 
  
Probability Primer pdf notes download
Ashish talpade

Probability Primer pdf notes download

Ashish talpade | 01-Feb-2016 |
What is Probability , Discrete Probability , Continuous Probability , Random Variables , Functions of a Random Variable , 2D Distributions , What is Probability , Discrete Probability , Continuous Probability , Random Variables , Functions of a Random Variable , 2D Distributions ,

Hi friends, here Ashish talpade uploaded notes for Mathematics and Probability Primer with title Probability Primer pdf notes download. You can download this lecture notes, ebook by clicking on the below file name or icon.

1 What is Probability? 3
1.1 Sigma Algebra, Borel Sets, etc.. . . . . . . . . . . . 3
1.2 Experiment.. . . . . 3
1.2.1 Examples.. . 3
1.3 Event.. . . . . . . . 3
1.3.1 Example.. . . 3
1.4 Sample Space.. . . . 3
1.4.1 Example.. . . 3
1.5 Complementary Event. . . . . . . . . . . . . . . . . 3
2 Discrete Probability 3
2.1 Probability of Two Events. . . . . . . . . . . . . . . 3
2.1.1 Example.. . . 4
2.1.2 Union Probability (OR). . . . . . . . . . . . 4
2.1.3 Joint Probability (AND). . . . . . . . . . . . 4
2.1.4 Mutually Exclusive. . . . . . . . . . . . . . . 4
2.2 Conditional (Posterior) Probability. . . . . . . . . . 5
2.3 Bayes' Theorem.. . . 5
2.4 Total Probability.. . 5
3 Distributions 5
3.1 Binomial Distribution.5
3.2 Multivariable Gaussian. . . . . . . . . . . . . . . . . 6
3.3 Summary.. . . . . . 6
3.4 Variance.. . . . . . . 6
3.5 Covariance.. . . . . . 6
3.5.1 Correlation Coecient. . . . . . . . . . . . . 6
3.5.2 Sample Covariance. . . . . . . . . . . . . . . 7
4 Continuous Probability 8
4.1 Conditional Distribution. . . . . . . . . . . . . . . . 8
4.2 Conditional Distribution 2. . . . . . . . . . . . . . . 8
4.3 Independence.. . . . 8
4.4 Bayes Theorem.. . . 8
4.4.1 Total Probability. . . . . . . . . . . . . . . . 8
4.5 Cumulative Distribution Function. . . . . . . . . . . 8
4.6 Variance.. . . . . . . 9
5 Random Variables 10
5.1 Expected Value.. . . 10
5.2 Conditional Mean.. . 10
5.3 Conditional Expected Value. . . . . . . . . . . . . . 10
5.4 Uncorrelated.. . . . . 10
5.5 Orthogonal.. . . . . 10
6 Moments 10
6.1 First Moment - Mean.10
6.2 Second Moment - Variance. . . . . . . . . . . . . . . 11
6.3 Third Moment - Skew. . . . . . . . . . . . . . . . . 11
6.4 Fourth Moment - Kurtosis. . . . . . . . . . . . . . . 11
6.5 Central Moments.. . 11
7 Functions of a Random Variable 11
7.1 Example.. . . . . . . 12
8 2D Distributions 12
8.1 Joint Distributions.. 12
8.2 Marginal Distribution.12
8.3 2D CDF.. . . . . . . 12

 

Download formulas of Probability Primer pdf notes

    Attachment Lists

    If download doesn't start in application like IDM then press Alt + click on download button to start download
  • Probability.pdf (Size: 155.35KB) Dowland
Share With Friends :  

No any Comment yet!