01743nam a2200325 i 4500991000498349707536041019s 000 0 ger d9783110146943 (v.1)9783110171501 (v.2)9783110171518 (v.3)1861-5090b13229837-39ule_instDip.to Filologia Ling. e Lett.itaRomanische Sprachgeschichte Histoire linguistique de la Romania :Ein internationales Handbuch zur Geschichte der romanischen Sprachen. Manuel international d'histoire linguistique de la Romania /Herausgegeben von /edité par Gerhard Ernst, Martin-Dietrich GleBgen, Christian Scchmitt, Wolfgang Schweickard Berlin-New York :Walter de Gruyter ;c20033 v. :ill. ;30 cmHandbucher zur Sprach-und Kommunikations-wissenschaft ;23.1-3Histoire linguistiqueRomaniaErnst, Gerhardauthorhttp://id.loc.gov/vocabulary/relators/aut388980GleBgen, Martin-DietrichSchmitt, CristianSchweickard, Wolfgang.b1322983721-05-1419-10-04991000498349707536LE008 FL.M. (f.r.) IX 349 v.112008000101121le008Coluccia-E0.00-l- 00000.i1390153919-10-04LE008 FL.M. (f.r) IX 349 v.312008000410711le008-E0.00-l- 00000.i1501974328-10-09LE008 FL.M. (f.r.) IX 349 v.212008000410728le008-E0.00-l- 00000.i1501977928-10-09Romanische Sprachgeschichte Histoire linguistique de la Romania1460526UNISALENTOle00819-10-04ma -gerde 0004482nam 22006972 450 991082900560332120151005020622.01-139-17959-41-316-08837-51-283-38246-697866133824671-139-18930-10-511-97777-81-139-18800-31-139-19060-11-139-18338-91-139-18569-1(CKB)2550000000075767(EBL)807304(OCoLC)782877024(SSID)ssj0000571172(PQKBManifestationID)11390484(PQKBTitleCode)TC0000571172(PQKBWorkID)10611696(PQKB)10669170(UkCbUP)CR9780511977770(Au-PeEL)EBL807304(CaPaEBR)ebr10520981(CaONFJC)MIL338246(PPN)261372416(MiAaPQ)EBC807304(PPN)16585135X(EXLCZ)99255000000007576720101013d2012|||| uy| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierProbability, random processes, and statistical analysis /Hisashi Kobayashi, Brian L. Mark, William Turin[electronic resource]Cambridge :Cambridge University Press,2012.1 online resource (xxxi, 780 pages) digital, PDF file(s)Title from publisher's bibliographic system (viewed on 05 Oct 2015).1-139-18079-7 0-521-89544-8 Includes bibliographical references and index.Machine generated contents note: 1. Introduction; Part I. Probability, Random Variables and Statistics: 2. Probability; 3. Discrete random variables; 4. Continuous random variables; 5. Functions of random variables and their distributions; 6. Fundamentals of statistical analysis; 7. Distributions derived from the normal distribution; Part II. Transform Methods, Bounds and Limits: 8. Moment generating function and characteristic function; 9. Generating function and Laplace transform; 10. Inequalities, bounds and large deviation approximation; 11. Convergence of a sequence of random variables, and the limit theorems; Part III. Random Processes: 12. Random process; 13. Spectral representation of random processes and time series; 14. Poisson process, birth-death process, and renewal process; 15. Discrete-time Markov chains; 16. Semi-Markov processes and continuous-time Markov chains; 17. Random walk, Brownian motion, diffusion and it's processes; Part IV. Statistical Inference: 18. Estimation and decision theory; 19. Estimation algorithms; Part V. Applications and Advanced Topics: 20. Hidden Markov models and applications; 21. Probabilistic models in machine learning; 22. Filtering and prediction of random processes; 23. Queuing and loss models.Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum-Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.Probability, Random Processes, & Statistical AnalysisStochastic analysisStochastic analysis.519.2/2Kobayashi Hisashi25536Mark Brian L(Brian Lai-bue),1969-Turin WilliamUkCbUPUkCbUPBOOK9910829005603321Probability, random processes, and statistical analysis4042253UNINA