000 | 02827nam a2200421 4500 | ||
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001 | 19076428 | ||
003 | OSt | ||
005 | 20200311153731.0 | ||
008 | 200108b xxu||||| |||| 00| 0 eng d | ||
010 | _a 2016939116 | ||
020 |
_a9783319298528 (hbk.) : _c€69.99 |
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040 |
_aDLC _beng _cDLC _erda _dDLC _dIIMU |
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042 | _apcc | ||
082 | 0 | 4 |
_a519.55 _223 |
100 | 1 |
_aBrockwell, J Peter., _eauthor. |
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245 | 1 | 0 |
_aIntroduction to time series and forecasting / _cPeter J. Brockwell. |
250 | _a3rd ed. | ||
263 | _a1606 | ||
264 | 1 |
_aNew York, NY : _bSpringer Science+Business Media, _c2016. |
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300 |
_axiv,425 p. : _bill ; _c26 cm. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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365 | _b€69.99 | ||
490 | _aSpringer Texts in Statistics | ||
504 | _aIncludes Bibliographical references and index. | ||
520 | _aThis 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 | ||
650 | 0 | _aStatistics. | |
650 | 0 | _aTime-series analysis. | |
650 | 0 | _aDistribution (Probability theory). | |
650 | 0 | _a Mathematical statistics. | |
700 | 1 | _aDavis, Richard A. | |
856 | 4 | 2 |
_3Contributor biographical information _uhttps://www.loc.gov/catdir/enhancements/fy1619/2016939116-b.html |
856 | 4 | 2 |
_3Publisher description and contents page _uhttps://www.springer.com/in/book/9783319298528 |
856 | 4 | 1 |
_3Table of contents only _uhttps://www.loc.gov/catdir/enhancements/fy1619/2016939116-t.html |
906 |
_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg |
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_c12745 _d12745 |