Applied Probability From Random Sequences to Stochastic Processes

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path...

Full description

Bibliographic Details
Main Authors: Girardin, Valérie, Limnios, Nikolaos (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02216nmm a2200373 u 4500
001 EB001848502
003 EBX01000000000000001012806
005 00000000000000.0
007 cr|||||||||||||||||||||
008 181001 ||| eng
020 |a 9783319974125 
100 1 |a Girardin, Valérie 
245 0 0 |a Applied Probability  |h Elektronische Ressource  |b From Random Sequences to Stochastic Processes  |c by Valérie Girardin, Nikolaos Limnios 
250 |a 1st ed. 2018 
260 |a Cham  |b Springer International Publishing  |c 2018, 2018 
300 |a XIII, 260 p. 30 illus., 1 illus. in color  |b online resource 
505 0 |a Preface -- Independent Random Sequences -- Conditions and Martingales -- Markov Chains -- Continuous Time Stochastic Processes -- Markov and Semi-Markov Processes -- Further Reading.- 
653 |a Mathematical statistics 
653 |a Engineering mathematics 
653 |a Statistics  
653 |a Engineering Mathematics 
653 |a Epidemiology 
653 |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 
653 |a Epidemiology 
653 |a Probability and Statistics in Computer Science 
653 |a Statistics for Business, Management, Economics, Finance, Insurance 
653 |a Probability Theory and Stochastic Processes 
653 |a Probabilities 
700 1 |a Limnios, Nikolaos  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
856 4 0 |u https://doi.org/10.1007/978-3-319-97412-5?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 519.2 
520 |a This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of examples and exercises with solutions