00991nam a2200193 a 4500001001400000003000700014005001700021008004100038020002500079020002200104040000800126100002400134245007400158260005100232300003200283504005000315505039600365650003600761vtls000075581KUKTEM20251125093820.0131018t2013    enka   f      001 0 eng d  a9781107039759 (hbk.)  a1107039754 (hbk.)  aUMP1 aGallager, Robert G.10aStochastic processes :btheory for applications /cRobert G. Gallager  aCambridge :bCambridge University Press,c2013  axx, 536 p :bill. ;c25 cm.  aIncludes bibliographical references and index0 aMachine generated contents note: 1. Introduction and review of probability; 2. Poisson processes; 3. Gaussian random vectors and processes; 4. Finite-state Markov chains; 5. Renewal processes; 6. Countable-state Markov chains; 7. Markov processes with countable state spaces; 8. Detection, decisions, and hypothesis testing; 9. Random walks, large deviations, and martingales; 10. Estimation 0aStochastic processesvTextbooks