Introduction to time series and forecasting / (Record no. 86931)

MARC details
000 -LEADER
fixed length control field 04705cam a22003135i 4500
003 - CONTROL NUMBER IDENTIFIER
control field KE-MeUCS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211202154243.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160819s2016 gw |||| o |||| 0|eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319298528
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1431875X
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency KE-MeUCS
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA280.B7 2016
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Brockwell, Peter J.
245 10 - TITLE STATEMENT
Title Introduction to time series and forecasting /
Statement of responsibility, etc by Peter J. Brockwell, Richard A. Davis.
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Switzerland :
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2016.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 425 p. :
Other physical details ill. (some col.)
490 1# - SERIES STATEMENT
Series statement Springer Texts in Statistics,
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliography and index.
520 ## - SUMMARY, ETC.
Summary, etc This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Many additional special topics are also covered. New to this edition: A chapter devoted to Financial Time Series Introductions to Brownian motion, Lévy processes and Itô calculus An expanded section on continuous-time ARMA processes Peter J. Brockwell and Richard A. Davis are Fellows of the American Statistical Association and the Institute of Mathematical Statistics and elected members of the International Statistics Institute. Richard A. Davis is the current President of the Institute of Mathematical Statistics and, with W.T.M. Dunsmuir, winner of the Koopmans Prize. Professors Brockwell and Davis are coauthors of the widely used advanced text, Time Series: Theory and Methods, Second Edition (Springer-Verlag, 1991). From reviews of the first edition: < This book, like a good science fiction novel, is hard to put down.... Fascinating examples hold one's attention and are taken from an astonishing variety of topics and fields.... Given that time series forecasting is really a simple idea, it is amazing how much beautiful mathematics this book encompasses. Each chapter is richly filled with examples that serve to illustrate and reinforce the basic concepts. The exercises at the end of each chapter are well designed and make good use of numerical problems. Combined with the ITSM package, this book is ideal as a textbook for the self-study student or the introductory course student. Overall then, as a text for a university-level course or as a learning aid for an industrial forecaster, I highly recommend the book. -SIAM Review In addition to including ITSM, the book details all of the algorithms used in the package-a quality which sets this text apart from all others at this level. This is an excellent idea for at least two reasons. It gives the practitioner the opportunity to use ITSM more intelligently by providing an extra source of intuition for understanding estimation and forecasting, and it allows the more adventurous practitioners to code their own algorithms for their individual purposes.... Overall I find Introduction to Time Series and Forecasting to be a very useful and enlightening introduction to time series. -Journal of the American Statistical Association The emphasis is on hands-on experience and the friendly software that accompanies the book serves the purpose admirably.... The authors should be congratulated for making the subject accessible and fun to learn. The book is a pleasure to read and highly recommended. I regard it as the best introductory text in town. -Short Book Reviews, International Statistical Review.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Econometrics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistical Theory and Methods.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Business, Management, Economics, Finance, Insurance.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Econometrics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Davis, Richard A.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Book
Cataloguer Ruth Gibendi
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Cataloger Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification     Meru University Meru University Open Shelves 21/01/2021 Corporate Campus 9984.00 Ruth Gibendi   QA280.B7 2016 21-33048 21/01/2021 21/01/2021 Book


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