Probability, random processes, and statistical analysis (Record no. 71310)

MARC details
000 -LEADER
fixed length control field 03795nam a2200409 a 4500
001 - CONTROL NUMBER
control field EBC807304
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240120132955.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111005s2012 enk sb 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
Canceled/invalid LC control number 2011041741
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780521895446 (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781139185691 (electronic bk.)
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC807304
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL807304
035 ## - SYSTEM CONTROL NUMBER
System control number (CaPaEBR)ebr10520981
035 ## - SYSTEM CONTROL NUMBER
System control number (CaONFJC)MIL338246
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)782877024
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274.2
Item number .K63 2012
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2/2
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kobayashi, Hisashi.
245 10 - TITLE STATEMENT
Title Probability, random processes, and statistical analysis
Medium [electronic resource] /
Statement of responsibility, etc. Hisashi Kobayashi, Brian L. Mark, William Turin.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge ;
-- New York :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2012.
300 ## - PHYSICAL DESCRIPTION
Extent xxxi, 780 p.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc. "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 It's 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"--
Assigning source Provided by publisher.
533 ## - REPRODUCTION NOTE
Type of reproduction Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Stochastic analysis.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mark, Brian L.
Fuller form of name (Brian Lai-bue),
Dates associated with a name 1969-
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Turin, William.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element ProQuest (Firm)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=807304">https://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=807304</a>
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