01652 a2200301 4500999001700000008004100017020001800058082001500076100002200091245007200113260002800185300003100213365002200244504007800266520064100344650002500985650002801010650002901038650002601067650001701093650002001110650002801130650002401158650001001182700002201192942001201214952012401226 c32385d32385230830b xxu||||| |||| 00| 0 eng d a9783030979652 a519.2bGIR aGirardin, Valerie aApplied probability : from random sequences to stochastic processes bSpringer,c2022aCham : axv, 253 p. ;bill.,c23 cm b54.99cEURd94.90 aIncludes bibliographical references and index.
Translate from the French. 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. aStochastic Processes aCharacteristic function aConditional distribution aDistribution function aMarkov chain aRenewal process aStationary distribution aTransition function aANOVA aLimnios, Nikolaos 2ddccBK 00102ddc406519_200000000000000_GIR70942434aDAIICTbDAIICTd2023-08-25g5218.55o519.2 GIRp034075r2023-08-30yBK