000			01832nam a22003377a 4500
003			OSt
005			20250424175233.0
008			250424b |||||||| |||| 00| 0 hin d
020			_a9783030073527
040			_aNISER LIBRARY _beng _cNISER LIBRARY
082	0	4	_a519.2 _bGIR-A
100			_aGirardin, Valérie
245	1	0	_aApplied probability : _bfrom random sequences to stochastic processes
260			_aCham, Switzerland : _bSpringer, _c2018.
300			_axiii, 260 pages : _b29 b/w illustrations, 1 illustrations in colour
504			_aIncludes bibliographical references and index.
520			_aThis 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.
650		0	_aEngineering mathematics
650		0	_aEpidemiology
650		0	_aMathematical statistics
650		0	_aProbabilities
650		0	_aStatistics
650		0	_aProbability theory and stochastic processes
650		0	_aRandom sequences
650		0	_aStochastic topology
650		0	_aSemi-Markov processes
700			_aLimnios, Nikolaos
856			_3Table of contents _uhttps://link.springer.com/content/pdf/bfm:978-3-319-97412-5/1
856			_3Reviews _uhttps://www.goodreads.com/book/show/95833837-applied-probability#CommunityReviews
942			_2udc _cBK
999			_c36017 _d36017