Introduction to Time Series and Forecasting / (Record no. 333310)

MARC details
000 -LEADER
fixed length control field 05058cam a22002415i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319298542
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number BRO
100 1# - MAIN ENTRY--AUTHOR 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. 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (XIV, 425 pages 118 illustrations, 4 illustrations in color.)
490 1# - SERIES STATEMENT
Series statement Springer Texts in Statistics,
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 Statistics .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Econometrics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistical Theory and Methods.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistics for Business, Management, Economics, Finance, Insurance.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Econometrics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term 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)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home Library Current Location Shelving location Date acquired Full call number Accession Number Price effective from Koha item type Source of classification or shelving scheme Collection code
        Dept. of Futures Studies Dept. of Futures Studies Processing Center 24/09/2021 519.5 BRO DFS4364 24/09/2021 Book    
        Dept. of Futures Studies Dept. of Futures Studies Reference 16/08/2023 R 519.5 BRO;1 DFS4621 16/08/2023 Book Dewey Decimal Classification Reference