000			a
999			_c32385 _d32385
008			230830b xxu||||| |||| 00| 0 eng d
020			_a9783030979652
082			_a519.2 _bGIR
100			_aGirardin, Valerie
245			_aApplied probability : from random sequences to stochastic processes
260			_bSpringer, _c2022 _aCham :
300			_axv, 253 p. ; _bill., _c23 cm
365			_b54.99 _cEUR _d94.90
504			_aIncludes bibliographical references and index. Translate from the French.
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			_aStochastic Processes
650			_aCharacteristic function
650			_aConditional distribution
650			_aDistribution function
650			_aMarkov chain
650			_aRenewal process
650			_aStationary distribution
650			_aTransition function
650			_aANOVA
700			_aLimnios, Nikolaos
942			_2ddc _cBK