000			01966nam a22002537a 4500
005			20250626154743.0
008			250626b |||||||| |||| 00| 0 eng d
020			_a9789811269448
040			_aCSL _cCSL
041			_2eng _aeng
084			_aB2811 R4 _qCSL
100			_aBorovkov , Konstantin _eauthor. _9814735
245			_aElements Of Stochastic Modelling
250			_a3rd ed.
260			_aSingapore : _bWorld Scientific, _c2024.
300			_axx, 569p. _b: ill. _c; 23 cm.
500			_aIncludes index.
520			_athis 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. This makes the book suitable 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 to make the book more attractive and useful for readers. Where appropriate, the book includes references to more specialised texts on respective topics that contain both complete proofs and more advanced material.
650			_aStochastic. _9814736
650			_aMarkov chains _9732915
650			_aQueueing theory.
650			_aSimulation. _9477789
942			_2CC _cTEXL _e3rd ed. _hB2811 R4 _n0
999			_c1433021 _d1433021