000 | 01534 a2200253 4500 | ||
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999 |
_c1591 _d1591 |
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003 | OSt | ||
005 | 20190409102506.0 | ||
008 | 190408b ||||| |||| 00| 0 eng d | ||
020 | 0 | 0 | _a9783319298528 |
040 | _cIIMV | ||
082 | 0 | _a519.55 | |
100 | 1 |
_aBrockwell, Peter J _eAuthor _91043 |
|
245 | 0 |
_aIntroduction to time series and forecasting / _cby Peter J. Brockwell, Ricard A. Davis |
|
250 | _a3 rd | ||
260 |
_aNew York, _bSpringer _c2016 |
||
300 |
_axiv,425 pages; _bIllustrations: _c11*8 cms. |
||
505 | _aIntroduction -- 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 | 3 | _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. | |
650 | 0 |
_aTime-series analysis. _91044 |
|
650 | 0 |
_a Distribution (Probability theory) _91045 |
|
650 | 0 |
_aMathematical statistics. _91046 |
|
700 | 1 |
_aDavis, Richard A _eAuthor _91047 |
|
942 |
_2ddc _cBK _eThird edition |