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    1. Home
    2. MARC view: Introduction to Time Series and Forecasting
    Normal view MARC view ISBD view

    Introduction to Time Series and Forecasting (Record no. 17796)

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    MARC details
    000 -LEADER
    fixed length control field 06446nam a22005175i 4500
    001 - CONTROL NUMBER
    control field 978-3-319-29854-2
    003 - CONTROL NUMBER IDENTIFIER
    control field DE-He213
    005 - DATE AND TIME OF LATEST TRANSACTION
    control field 20200712170731.0
    007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
    fixed length control field cr nn 008mamaa
    008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
    fixed length control field 160819s2016 gw | s |||| 0|eng d
    020 ## - INTERNATIONAL STANDARD BOOK NUMBER
    International Standard Book Number 9783319298542
    -- 978-3-319-29854-2
    024 7# - OTHER STANDARD IDENTIFIER
    Standard number or code 10.1007/978-3-319-29854-2
    Source of number or code doi
    050 #4 - LIBRARY OF CONGRESS CALL NUMBER
    Classification number QA276-280
    072 #7 - SUBJECT CATEGORY CODE
    Subject category code PBT
    Source bicssc
    072 #7 - SUBJECT CATEGORY CODE
    Subject category code MAT029000
    Source bisacsh
    072 #7 - SUBJECT CATEGORY CODE
    Subject category code PBT
    Source thema
    082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
    Classification number 519.5
    Edition number 23
    100 1# - MAIN ENTRY--PERSONAL NAME
    Personal name Brockwell, Peter J.
    Relator term author.
    Relator code aut
    -- http://id.loc.gov/vocabulary/relators/aut
    245 10 - TITLE STATEMENT
    Title Introduction to Time Series and Forecasting
    Medium [electronic resource] /
    Statement of responsibility, etc by Peter J. Brockwell, Richard A. Davis.
    250 ## - EDITION STATEMENT
    Edition statement 3rd ed. 2016.
    264 #1 -
    -- Cham :
    -- Springer International Publishing :
    -- Imprint: Springer,
    -- 2016.
    300 ## - PHYSICAL DESCRIPTION
    Extent XIV, 425 p. 118 illus., 4 illus. in color.
    Other physical details online resource.
    336 ## -
    -- text
    -- txt
    -- rdacontent
    337 ## -
    -- computer
    -- c
    -- rdamedia
    338 ## -
    -- online resource
    -- cr
    -- rdacarrier
    347 ## -
    -- text file
    -- PDF
    -- rda
    490 1# - SERIES STATEMENT
    Series statement Springer Texts in Statistics,
    International Standard Serial Number 1431-875X
    505 0# - FORMATTED CONTENTS NOTE
    Formatted contents note Introduction -- Stationary Processes -- ARMA Models -- Spectral Analysis -- Modeling and Forecasting with ARMA Processes -- Nonstationary and Seasonal Time Series Models -- Time Series Models for Financial Data -- Multivariate Time Series -- State-Space Models -- Forecasting Techniques -- Further Topics -- Appendix A: Random Variables and Probability Distributions -- Appendix B: Statistical Complements -- Appendix C: Mean Square Convergence -- Appendix D: Lévy Processes, Brownian Motion and Itô Calculus -- Appendix E: An ITSM Tutorial -- References -- 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.
    -- http://scigraph.springernature.com/things/product-market-codes/S11001
    650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Statistics for Business, Management, Economics, Finance, Insurance.
    -- http://scigraph.springernature.com/things/product-market-codes/S17010
    650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Econometrics.
    -- http://scigraph.springernature.com/things/product-market-codes/W29010
    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.
    -- http://scigraph.springernature.com/things/product-market-codes/S17020
    700 1# - ADDED ENTRY--PERSONAL NAME
    Personal name Davis, Richard A.
    Relator term author.
    Relator code aut
    -- http://id.loc.gov/vocabulary/relators/aut
    710 2# - ADDED ENTRY--CORPORATE NAME
    Corporate name or jurisdiction name as entry element SpringerLink (Online service)
    773 0# - HOST ITEM ENTRY
    Title Springer eBooks
    776 08 - ADDITIONAL PHYSICAL FORM ENTRY
    Display text Printed edition:
    International Standard Book Number 9783319298528
    776 08 - ADDITIONAL PHYSICAL FORM ENTRY
    Display text Printed edition:
    International Standard Book Number 9783319298535
    830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
    Uniform title Springer Texts in Statistics,
    -- 1431-875X
    856 40 - ELECTRONIC LOCATION AND ACCESS
    Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-319-29854-2">https://doi.org/10.1007/978-3-319-29854-2</a>
    912 ## -
    -- ZDB-2-SMA
    942 ## - ADDED ENTRY ELEMENTS (KOHA)
    Koha item type

    No items available.

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