Time series prediction : forecasting the future and understanding the past : proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, held in Santa Fe, New Mexico, May 14-17, 1992
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| 005 | 20190418140426 | |
| 008 | 930810s1994 maua b 101 0 eng | |
| 010 | ▼a 93023369 | |
| 020 | ▼a 0201626012 | |
| 020 | ▼a 0201626020 (pbk.) | |
| 020 | ▼a 9780201626025 | |
| 035 | ▼a (KERIS)REF000014713850 | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a QA280 ▼b .N37 1992 |
| 082 | 0 0 | ▼a 003/.2 ▼2 22 |
| 084 | ▼a 003.2 ▼2 DDCK | |
| 090 | ▼a 003.2 ▼b N279t | |
| 245 | 0 0 | ▼a Time series prediction : ▼b forecasting the future and understanding the past : proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, held in Santa Fe, New Mexico, May 14-17, 1992 / ▼c editors Andreas S. Weigend, Neil A. Gershenfeld. |
| 260 | ▼a Reading, MA : ▼b Addison-Wesley Pub. Co., ▼c c1994. | |
| 300 | ▼a xvii, 643 p. : ▼b ill. ; ▼c 24 cm. | |
| 490 | 1 | ▼a A Proceedings volume, Santa Fe Institute studies in the sciences of complexity ; ▼v ; 15 |
| 504 | ▼a Includes bibliographical references (p. 571-630) and index. | |
| 650 | 0 | ▼a Time-series analysis ▼v Congresses. |
| 700 | 1 | ▼a Weigend, Andreas S. |
| 700 | 1 | ▼a Gershenfeld, Neil A. |
| 711 | 2 | ▼a NATO Advanced Research Workshop on Comparative Time Series Analysis ▼d (1992 : ▼c Santa Fe, N.M.). |
| 776 | 0 8 | ▼i Online version: ▼t Time series prediction : forecasting the future and understanding the past : proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, held in Santa Fe, New Mexico, May 14-17, 1992 ▼z 9780429492648 ▼w (211009) 000045980996 |
| 830 | 0 | ▼a Proceedings volume in the Santa Fe Institute studies in the sciences of complexity ; ▼v v. 15. |
| 945 | ▼a KINS |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 003.2 N279t | 등록번호 121162264 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
The book is a summary of a time series forecasting competition that was held a number of years ago. The competition used four different kinds of time series (for example, one data set was chaotic from measurements of a laser, and another was a multidimensional physiological times series of heart beats and respiration, etc.).
The strength of the book lies in that it represents several ways to approach real time series prediction strategies in a concrete way - Invaluable, especially to researchers who may be just beginning.
The strength of the book lies in that it represents several ways to approach real time series prediction strategies in a concrete way - Invaluable, especially to researchers who may be just beginning.
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