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Sl.No Chapter Name MP4 Download
1Random experiment, sample space, axioms of probability, probability space.Download
2 Random 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
5 Multiplication rule, total probability rule, Bayes's theorem.Download
6Definition of Random Variable, Cumulative Distribution FunctionDownload
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
12Mean and VarianceDownload
13Mean and Variance ContinuedDownload
14Higher Order Moments and Moments InequalitiesDownload
15Higher Order Moments and Moments Inequalities ContinuedDownload
16Generating FunctionsDownload
17Generating Functions ContinuedDownload
18Common Discrete DistributionsDownload
19Common Discrete Distributions ContinuedDownload
20Common Continuous DistributionsDownload
21Common Continuous Distributions ContinuedDownload
22Applications of Random VariableDownload
23Applications of Random Variable ContinuedDownload
24Random vector and joint distributionDownload
25Joint probability mass functionDownload
26Joint probability density functionDownload
27Independent random variablesDownload
28Independent random variables ContinuedDownload
29Functions of several random variablesDownload
30Functions of several random variables continuedDownload
31Some important results Download
32Order statistics Download
33Conditional distributions Download
34Random sum Download
35Moments and CovarianceDownload
36Variance Covariance matrixDownload
37Multivariate Normal distributionDownload
38Probability generating function and Moment generating functionDownload
39Correlation coefficientDownload
40Conditional ExpectationDownload
41Conditional Expectation continued.Download
42Modes of ConvergenceDownload
43Mode of Convergence (Continued)Download
44Law of Large NumbersDownload
45Central Limit TheoremDownload
46Central Limit Theorem (Continued)Download
47Motivation for Stochastic ProcessesDownload
48Definition of a Stochastic ProcessDownload
49Classification of Stochastic ProcessesDownload
50Examples of Stochastic ProcessDownload
51Examples Of Stochastic Process (Continued)Download
52Bernoulli ProcessDownload
53Poisson ProcessDownload
54Poisson Process (Continued)Download
55Simple Random WalkDownload
56Time Series and Related DefinitionsDownload
57Strict Sense Stationary ProcessDownload
58Wide Sense Stationary Process and ExamplesDownload
59Examples of Stationary Processes ContinuedDownload
60Discrete Time Markov Chain (DTMC) Download
61DTMC continuedDownload
62Examples of DTMCDownload
63Examples of DTMC continued Download
64Chapman-Kolmogorov equations and N-step transition matrixDownload
65Examples based on N-step transition matrixDownload
66Examples continued Download
67Classification of states Download
68Classification of states continuedDownload
69Calculation of N-Step-9Download
70Calculation of N-Step-10Download
71Limiting and Stationary distributions Download
72Limiting and Stationary distributions continuedDownload
73Continuous time Markov chain (CTMC) Download
74CTMC continuedDownload
75State transition diagram and Chapman-Kolmogorov equationDownload
76Infinitesimal generator and Kolmogorov differential equationsDownload
77Limiting distribution Download
78Limiting and Stationary distributions -1Download
79Birth death process Download
80Birth death process continuedDownload
81Poisson process -1Download
82Poisson process continuedDownload
83Poisson process (cont.)Download
84Non-homogeneous and compound Poisson process Download
85Introduction to Queueing Models and Kendall NotationDownload
86M/M/1 Queueing ModelDownload
87M/M/1 Queueing Model Continued...Download
88M/M/1 Queueing Model and Burke's TheoremDownload
89 M/M/c Queueing ModelDownload
90M/M/c continued and M/M/1/N ModelDownload
91Other Markovian Queueing ModelsDownload
92Transient Solution of Finite Capacity Markovian QueuesDownload

Sl.No Chapter Name English
1Random experiment, sample space, axioms of probability, probability space.Download
Verified
2 Random experiment, sample space, axioms of probability, probability space. (Cont...)Download
Verified
3Random experiment, sample space, axioms of probability, probability space. (Contd...)Download
Verified
4Conditional probability, independence of events.Download
Verified
5 Multiplication rule, total probability rule, Bayes's theorem.Download
Verified
6Definition of Random Variable, Cumulative Distribution FunctionDownload
Verified
7Definition of Random Variable, Cumulative Distribution Function (Continued 1)Download
Verified
8Definition of Random Variable, Cumulative Distribution Function (Continued 2)Download
Verified
9Type of Random Variables, Probability Mass Function, Probability Density FunctionDownload
Verified
10Type of Random Variables, Probability Mass Function, Probability Density Function (continued 1)Download
Verified
11Distribution of Function of Random VariablesDownload
Verified
12Mean and VarianceDownload
Verified
13Mean and Variance ContinuedDownload
Verified
14Higher Order Moments and Moments InequalitiesDownload
Verified
15Higher Order Moments and Moments Inequalities ContinuedDownload
Verified
16Generating FunctionsDownload
Verified
17Generating Functions ContinuedDownload
Verified
18Common Discrete DistributionsDownload
Verified
19Common Discrete Distributions ContinuedDownload
Verified
20Common Continuous DistributionsDownload
Verified
21Common Continuous Distributions ContinuedDownload
Verified
22Applications of Random VariableDownload
Verified
23Applications of Random Variable ContinuedDownload
Verified
24Random vector and joint distributionDownload
Verified
25Joint probability mass functionDownload
Verified
26Joint probability density functionDownload
Verified
27Independent random variablesDownload
Verified
28Independent random variables ContinuedDownload
Verified
29Functions of several random variablesDownload
Verified
30Functions of several random variables continuedDownload
Verified
31Some important results Download
Verified
32Order statistics Download
Verified
33Conditional distributions Download
Verified
34Random sum Download
Verified
35Moments and CovarianceDownload
Verified
36Variance Covariance matrixDownload
Verified
37Multivariate Normal distributionDownload
Verified
38Probability generating function and Moment generating functionDownload
Verified
39Correlation coefficientDownload
Verified
40Conditional ExpectationDownload
Verified
41Conditional Expectation continued.Download
Verified
42Modes of ConvergenceDownload
Verified
43Mode of Convergence (Continued)Download
Verified
44Law of Large NumbersDownload
Verified
45Central Limit TheoremDownload
Verified
46Central Limit Theorem (Continued)Download
Verified
47Motivation for Stochastic ProcessesDownload
Verified
48Definition of a Stochastic ProcessDownload
Verified
49Classification of Stochastic ProcessesDownload
Verified
50Examples of Stochastic ProcessDownload
Verified
51Examples Of Stochastic Process (Continued)Download
Verified
52Bernoulli ProcessDownload
Verified
53Poisson ProcessDownload
Verified
54Poisson Process (Continued)Download
Verified
55Simple Random WalkDownload
Verified
56Time Series and Related DefinitionsDownload
Verified
57Strict Sense Stationary ProcessDownload
Verified
58Wide Sense Stationary Process and ExamplesDownload
Verified
59Examples of Stationary Processes ContinuedDownload
Verified
60Discrete Time Markov Chain (DTMC) Download
Verified
61DTMC continuedDownload
Verified
62Examples of DTMCDownload
Verified
63Examples of DTMC continued Download
Verified
64Chapman-Kolmogorov equations and N-step transition matrixDownload
Verified
65Examples based on N-step transition matrixDownload
Verified
66Examples continued Download
Verified
67Classification of states Download
Verified
68Classification of states continuedDownload
Verified
69Calculation of N-Step-9Download
Verified
70Calculation of N-Step-10Download
Verified
71Limiting and Stationary distributions Download
Verified
72Limiting and Stationary distributions continuedDownload
Verified
73Continuous time Markov chain (CTMC) Download
Verified
74CTMC continuedDownload
Verified
75State transition diagram and Chapman-Kolmogorov equationDownload
Verified
76Infinitesimal generator and Kolmogorov differential equationsDownload
Verified
77Limiting distribution Download
Verified
78Limiting and Stationary distributions -1Download
Verified
79Birth death process Download
Verified
80Birth death process continuedDownload
Verified
81Poisson process -1Download
Verified
82Poisson process continuedDownload
Verified
83Poisson process (cont.)Download
Verified
84Non-homogeneous and compound Poisson process Download
Verified
85Introduction to Queueing Models and Kendall NotationDownload
Verified
86M/M/1 Queueing ModelDownload
Verified
87M/M/1 Queueing Model Continued...Download
Verified
88M/M/1 Queueing Model and Burke's TheoremDownload
Verified
89 M/M/c Queueing ModelDownload
Verified
90M/M/c continued and M/M/1/N ModelDownload
Verified
91Other Markovian Queueing ModelsDownload
Verified
92Transient Solution of Finite Capacity Markovian QueuesDownload
Verified


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