Time Series Analysis and Its Applications:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
Springer New York
2000
|
| Schriftenreihe: | Springer Texts in Statistics
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-1-4757-3261-0 |
| Beschreibung: | The goals of this book are to develop an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing data, and still maintain a commitment to theoretical integrity, as exemplified by the seminal works of Brillinger (1981) and Hannan (1970) and the texts by Brockwell and Davis (1991) and Fuller (1995). The advent of more powerful computing, es pecially in the last three years, has provided both real data and new software that can take one considerably beyond the fitting of·simple time domain mod els, such as have been elegantly described in the landmark work of Box and Jenkins (1970). The present book is designed to be useful as a text for courses in time series on several different levels and as a reference work for practition ers facing the analysis of time-correlated data in the physical, biological, and social sciences. We believe the book will be useful as a text at both the undergraduate and graduate levels. An undergraduate course can be accessible to students with a background in regression analysis and might include Sections 1. 1-1. 8, 2. 1-2. 9, and 3. 1-3. 8. Similar courses have been taught at the University of California (Berkeley and Davis) in the past using the earlier book on applied time series analysis by Shumway (1988). Such a course is taken by undergraduate students in mathematics, economics, and statistics and attracts graduate students from the agricultural, biological, and environmental sciences |
| Umfang: | 1 Online-Ressource (XIII, 551 p) |
| ISBN: | 9781475732610 9781475732634 |
| ISSN: | 1431-875X |
| DOI: | 10.1007/978-1-4757-3261-0 |
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| discipline | Mathematik |
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| id | DE-604.BV042421449 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:10:44Z |
| institution | BVB |
| isbn | 9781475732610 9781475732634 |
| issn | 1431-875X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027856866 |
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| physical | 1 Online-Ressource (XIII, 551 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 2000 |
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| publisher | Springer New York |
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| series2 | Springer Texts in Statistics |
| spellingShingle | Shumway, Robert H. Time Series Analysis and Its Applications Statistics Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Life Sciences, Medicine, Health Sciences Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Zeitreihenanalyse (DE-588)4067486-1 gnd |
| subject_GND | (DE-588)4067486-1 |
| title | Time Series Analysis and Its Applications |
| title_auth | Time Series Analysis and Its Applications |
| title_exact_search | Time Series Analysis and Its Applications |
| title_full | Time Series Analysis and Its Applications by Robert H. Shumway, David S. Stoffer |
| title_fullStr | Time Series Analysis and Its Applications by Robert H. Shumway, David S. Stoffer |
| title_full_unstemmed | Time Series Analysis and Its Applications by Robert H. Shumway, David S. Stoffer |
| title_short | Time Series Analysis and Its Applications |
| title_sort | time series analysis and its applications |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Life Sciences, Medicine, Health Sciences Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Zeitreihenanalyse (DE-588)4067486-1 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Life Sciences, Medicine, Health Sciences Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Zeitreihenanalyse |
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