000			02889cam a2200373 i 4500
999			_c90168 _d90168
005			20250422102653.0
008			250422b ||||| |||| 00| 0 eng d
010			_a 2023049631
020			_a9789811269448 _q(paperback)
020			_a9789811268380 _q(hardcover)
020			_z9789811268397 _q(ebook for institutions)
020			_z9789811268403 _q(ebook for individuals)
040			_aDLC _beng _erda _cDLC _dDLC
041			_aeng
042			_apcc
050	0	0	_aQA274 _b.B655 2024
082	0	0	_a519.2/3 _223/eng/20231117
100	1		_aBorovkov, Konstantin _q(Konstantin Aleksandrovich), _eauthor.
245	1	0	_aElements of stochastic modelling / _cKonstantin Borovkov, the University of Melbourne, Australia.
250			_a3rd edition.
264		1	_aNew Jersey : _bWorld Scientific, _c[2024]
300			_axx, 569 pages ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aRevised edition of: Elements of stochastic modelling / Konstantin Borovkov. 2nd edition. [2014].
504			_aIncludes bibliographical references and index.
520			_a"This is a thoroughly revised and expanded third edition of a successful university textbook that provides a broad introduction to key areas of stochastic modelling. The original text was developed from lecture notes for a one-semester course for third-year science and actuarial students at the University of Melbourne. This book reviews the basics of probability theory and presents topics on Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory, basic renewal theory, elements of time series and simulation. It also features elements of stochastic calculus and introductory mathematical finance. Thus enhancing the book's suitability for a larger variety of university courses presenting the fundamentals of modern stochastic modelling. To make the text covering a lot of material more appealing and accessible to the reader, instead of rigorous proofs we often give only sketches of the arguments, with indications as to why a particular result holds and also how it is related to other results, and illustrate them by examples. It is in this aspect that the present, third edition differs from the second one: the included background material and argument sketches have been extended, made more graphical and informative. The whole text was reviewed and streamlined wherever possible for it to be more attractive and useful for readers. Wherever possible, the book includes references to more specialised texts on respective topics that contain both proofs and more advanced material"-- _cProvided by publisher.
650		0	_aStochastic processes.
650		0	_aMathematical models.
650		0	_aComputer simulation.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK