Gertsbakh, Ilya.
Network Reliability A Lecture Course / [electronic resource] : by Ilya Gertsbakh, Yoseph Shpungin. - 1st ed. 2020. - IX, 90 p. 48 illus., 27 illus. in color. online resource. - SpringerBriefs in Electrical and Computer Engineering, 2191-8120 . - SpringerBriefs in Electrical and Computer Engineering, .
1 Probability and Statistics: a short reminder -- 2 The concept of network -- 3 Network Static and Dynamic Reliability -- 4 Monte Carlo method for evaluating network reliability -- 5 Lomonosov’s “Turnip” for Network Reliability evaluation.
This introductory book equips the reader to apply the core concepts and methods of network reliability analysis to real-life problems. It explains the modeling and critical analysis of systems and probabilistic networks, and requires only a minimal background in probability theory and computer programming. Based on the lecture notes of eight courses taught by the authors, the book is also self-contained, with no theory needed beyond the lectures. The primary focus is on essential “modus operandi,” which are illustrated in numerous examples and presented separately from the more difficult theoretical material.
9789811514586
10.1007/978-981-15-1458-6 doi
Telecommunication.
Statistics .
Computer science—Mathematics.
Mathematical statistics.
Communications Engineering, Networks.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Probability and Statistics in Computer Science.
TK5101-5105.9
621.382
Network Reliability A Lecture Course / [electronic resource] : by Ilya Gertsbakh, Yoseph Shpungin. - 1st ed. 2020. - IX, 90 p. 48 illus., 27 illus. in color. online resource. - SpringerBriefs in Electrical and Computer Engineering, 2191-8120 . - SpringerBriefs in Electrical and Computer Engineering, .
1 Probability and Statistics: a short reminder -- 2 The concept of network -- 3 Network Static and Dynamic Reliability -- 4 Monte Carlo method for evaluating network reliability -- 5 Lomonosov’s “Turnip” for Network Reliability evaluation.
This introductory book equips the reader to apply the core concepts and methods of network reliability analysis to real-life problems. It explains the modeling and critical analysis of systems and probabilistic networks, and requires only a minimal background in probability theory and computer programming. Based on the lecture notes of eight courses taught by the authors, the book is also self-contained, with no theory needed beyond the lectures. The primary focus is on essential “modus operandi,” which are illustrated in numerous examples and presented separately from the more difficult theoretical material.
9789811514586
10.1007/978-981-15-1458-6 doi
Telecommunication.
Statistics .
Computer science—Mathematics.
Mathematical statistics.
Communications Engineering, Networks.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Probability and Statistics in Computer Science.
TK5101-5105.9
621.382