ITSM for Windows
A User's Guide to Time Series Modelling and Forecasting
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Contributions
- R.J. Hyndman (Assistant) - Contributor
Publication
1994-08-12 - Springer
Language
English
Word Count
31,750 words, Guess
Page Count
127 pages
Identifiers
- Open LibraryOL7448442M
- ISBN-139780387943374
- ISBN-100387943374
- OCLC Control Numberitsmforwindowsus00broc
- Goodreads2841325
and 1 more
- LibraryThing1265685
Classifications
- LCCQA276-280
Description
The analysis of time series data is an important aspect of data analysis across a wide range of disciplines, including statistics, mathematics, business, engineering, and the natural and social sciences. This package provides both an introduction to time series analysis and an easy-to-use version of a well-known time series computing package called Interactive Time Series Modelling. The programs in the package are intended as a supplement to the text Time Series: Theory and Methods, 2nd edition, also by Peter J. Brockwell and Richard A. Davis. Many researchers and professionals will appreciate this straightforward approach enabling them to run desk-top analyses of their time series data. Amongst the many facilities available are tools for: ARIMA modelling, smoothing, spectral estimation, multivariate autoregressive modelling, transfer-function modelling, forecasting, and long-memory modelling. This version is designed to run under Microsoft Windows 3.1 or later. It comes with two diskettes: one suitable for less powerful machines (IBM PC 286 or later with 540K available RAM and 1.1 MB of hard disk space) and one for more powerful machines (IBM PC 386 or later with 8MB of RAM and 2.6 MB of hard disk space available).
First Sentence
The time series programs described in this manual are all included in the package ITSM (Interactive Time Series Modelling) designed to accompany the book Time Series: Theory and Methods by Peter Brockwell and Richard Davis, (Springer-Verlag, Second Edition, 1991).
Subjects
Other Editions
- ITSM for Windows: A User's Guide to Time Series Modelling and Forecasting
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