Modules / Lectures
Module NameDownloadDescriptionDownload Size
Concepts of Random walks, Markov Chains, Markov Processeslecture1.pdfpdf of lecture1792 kb
Concepts of Random walks, Markov Chains, Markov Processeslecture2.pdfpdf of lecture2669 kb
Concepts of Random walks, Markov Chains, Markov Processeslecture3.pdfpdf of lecture3720 kb
Concepts of Random walks, Markov Chains, Markov Processeslecture4.pdfpdf of lecture4329 kb
Poisson Process and Kolmorogov equationslecture5.pdfpdf of lecture5139 kb
Poisson Process and Kolmorogov equationslecture6.pdfpdf of lecture6204 kb
Poisson Process and Kolmorogov equationslecture7.pdfpdf of lecture7209 kb
Poisson Process and Kolmorogov equationslecture8.pdfpdf of lecture8119 kb
Branching process, Application of Markov chains, Markov Processes with discrete and continuous statelecture9.pdfpdf of lecture993 kb
Branching process, Application of Markov chains, Markov Processes with discrete and continuous statelecture10.pdfpdf of lecture10107 kb
Branching process, Application of Markov chains, Markov Processes with discrete and continuous statelecture11.pdfpdf of lecture1182 kb
Branching process, Application of Markov chains, Markov Processes with discrete and continuous statelecture12.pdfpdf of lecture12220 kb
Branching process, Application of Markov chains, Markov Processes with discrete and continuous statelecture13.pdfpdf of lecture1392 kb
Renewal Processes and Theory, Limit theorems in renewal theorylecture14.pdfpdf of lecture1463 kb
Renewal Processes and Theory, Limit theorems in renewal theorylecture15.pdfpdf of lecture1587 kb
Renewal Processes and Theory, Limit theorems in renewal theorylecture16.pdfpdf of lecture16116 kb
Renewal Processes and Theory, Limit theorems in renewal theorylecture17.pdfpdf of lecture1794 kb
Renewal Processes and Theory, Limit theorems in renewal theorylecture18.pdfpdf of lecture18100 kb
Understanding of applications of renewal theory, Stationary Process with discrete and continuous parlecture19.pdfpdf of lecture19105 kb
Understanding of applications of renewal theory, Stationary Process with discrete and continuous parlecture20.pdfpdf of lecture20171 kb
Understanding of applications of renewal theory, Stationary Process with discrete and continuous parlecture21.pdfpdf of lecture2165 kb
Understanding of applications of renewal theory, Stationary Process with discrete and continuous parlecture22.pdfpdf of lecture22538 kb
Understanding of applications of renewal theory, Stationary Process with discrete and continuous parlecture23.pdfpdf of lecture23316 kb
Random walks and related areaslecture24.pdfpdf of lecture24141 kb
Random walks and related areaslecture25.pdfpdf of lecture25101 kb
Random walks and related areaslecture26.pdfpdf of lecture26168 kb
Random walks and related areaslecture27.pdfpdf of lecture27107 kb
Random walks and related areaslecture28.pdfpdf of lecture28159 kb
Application of stochastic processes in queueing theorylecture29.pdfpdf of lecture29117 kb
Application of stochastic processes in queueing theorylecture30.pdfpdf of lecture30101 kb
Application of stochastic processes in areas like schedulinglecture31.pdfpdf of lecture3136 kb
Application of stochastic processes in areas like schedulinglecture32.pdfpdf of lecture32105 kb
Application of stochastic processes in areas like manufacturinglecture33.pdfpdf of lecture33186 kb
Application of stochastic processes in areas like manufacturinglecture34.pdfpdf of lecture34492 kb
Application of stochastic processes in areas like financelecture35.pdfpdf of lecture35352 kb
Application of stochastic processes in areas like financelecture36.pdfpdf of lecture36237 kb
Application of stochastic processes in areas marketinglecture37.pdfpdf of lecture37114 kb
Application of stochastic processes in areas marketinglecture38.pdfpdf of lecture3853 kb
Application of stochastic processes in areas of engineering and management sciencelecture39.pdfpdf of lecture39644 kb
Application of stochastic processes in areas of engineering and management sciencelecture40.pdfpdf of lecture40433 kb
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Concepts of Random walks, Markov Chains, Markov ProcessesAssingmentpdf of Assingments86 kb
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Concepts of Random walks, Markov Chains, Markov ProcessesReferencespdf of references116 kb