Modules / Lectures


Sl.No Chapter Name MP4 Download
1Lecture 1Download
2Random experiment, sample space, axioms of probability, probability space. (Cont...)Download
3Random experiment, sample space, axioms of probability, probability space. (Contd...)Download
4Conditional probability, independence of events.Download
5Multiplication rule, total probability rule, Bayes's theorem.Download
6Lecture 6Download
7Definition of Random Variable, Cumulative Distribution Function (Continued 1)Download
8Definition of Random Variable, Cumulative Distribution Function (Continued 2)Download
9Type of Random Variables, Probability Mass Function, Probability Density FunctionDownload
10Type of Random Variables, Probability Mass Function, Probability Density Function (continued 1)Download
11Distribution of Function of Random VariablesDownload
12Lecture 12Download
13Mean and Variance ContinuedDownload
14Higher Order Moments and Moments InequalitiesDownload
15Higher Order Moments and Moments Inequalities ContinuedDownload
16Generating FunctionsDownload
17Generating Functions ContinuedDownload
18Lecture 18Download
19Common Discrete Distributions ContinuedDownload
20Common Continuous DistributionsDownload
21Common Continuous Distributions ContinuedDownload
22Applications of Random VariableDownload
23Applications of Random Variable ContinuedDownload
24Lecture 24Download
25Joint probability mass functionDownload
26Joint probability density functionDownload
27Independent random variablesDownload
28Independent random variables ContinuedDownload
29Lecture 29Download
30Functions of several random variables continuedDownload
31Some important resultsDownload
32Order statisticsDownload
33Conditional distributionsDownload
34Random sumDownload
35Download
36Variance Covariance matrixDownload
37Multivariate Normal distributionDownload
38Probability generating function and Moment generating functionDownload
39Correlation coefficientDownload
40Conditional ExpectationDownload
41Conditional Expectation continued.Download
42Lecture 42Download
43Mode of Convergence (Continued)Download
44Law of Large NumbersDownload
45Central Limit TheoremDownload
46Central Limit Theorem (Continued)Download

Sl.No Chapter Name English
1Lecture 1PDF unavailable
2Random experiment, sample space, axioms of probability, probability space. (Cont...)PDF unavailable
3Random experiment, sample space, axioms of probability, probability space. (Contd...)PDF unavailable
4Conditional probability, independence of events.PDF unavailable
5Multiplication rule, total probability rule, Bayes's theorem.PDF unavailable
6Lecture 6PDF unavailable
7Definition of Random Variable, Cumulative Distribution Function (Continued 1)PDF unavailable
8Definition of Random Variable, Cumulative Distribution Function (Continued 2)PDF unavailable
9Type of Random Variables, Probability Mass Function, Probability Density FunctionPDF unavailable
10Type of Random Variables, Probability Mass Function, Probability Density Function (continued 1)PDF unavailable
11Distribution of Function of Random VariablesPDF unavailable
12Lecture 12PDF unavailable
13Mean and Variance ContinuedPDF unavailable
14Higher Order Moments and Moments InequalitiesPDF unavailable
15Higher Order Moments and Moments Inequalities ContinuedPDF unavailable
16Generating FunctionsPDF unavailable
17Generating Functions ContinuedPDF unavailable
18Lecture 18PDF unavailable
19Common Discrete Distributions ContinuedPDF unavailable
20Common Continuous DistributionsPDF unavailable
21Common Continuous Distributions ContinuedPDF unavailable
22Applications of Random VariablePDF unavailable
23Applications of Random Variable ContinuedPDF unavailable
24Lecture 24PDF unavailable
25Joint probability mass functionPDF unavailable
26Joint probability density functionPDF unavailable
27Independent random variablesPDF unavailable
28Independent random variables ContinuedPDF unavailable
29Lecture 29PDF unavailable
30Functions of several random variables continuedPDF unavailable
31Some important resultsPDF unavailable
32Order statisticsPDF unavailable
33Conditional distributionsPDF unavailable
34Random sumPDF unavailable
35PDF unavailable
36Variance Covariance matrixPDF unavailable
37Multivariate Normal distributionPDF unavailable
38Probability generating function and Moment generating functionPDF unavailable
39Correlation coefficientPDF unavailable
40Conditional ExpectationPDF unavailable
41Conditional Expectation continued.PDF unavailable
42Lecture 42PDF unavailable
43Mode of Convergence (Continued)PDF unavailable
44Law of Large NumbersPDF unavailable
45Central Limit TheoremPDF unavailable
46Central Limit Theorem (Continued)PDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available