Time Series Analysis and Its Applications:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2000
|
| Series: | Springer Texts in Statistics
|
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | 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 |
| Physical Description: | 1 Online-Ressource (XIII, 551 p) |
| ISBN: | 9781475732610 9781475732634 |
| ISSN: | 1431-875X |
| DOI: | 10.1007/978-1-4757-3261-0 |
Staff View
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Record in the Search Index
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| id | DE-604.BV042421449 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:09Z |
| institution | BVB |
| isbn | 9781475732610 9781475732634 |
| issn | 1431-875X |
| language | English |
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| spelling | Shumway, Robert H. Verfasser aut Time Series Analysis and Its Applications by Robert H. Shumway, David S. Stoffer New York, NY Springer New York 2000 1 Online-Ressource (XIII, 551 p) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X 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 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 rswk-swf Zeitreihenanalyse (DE-588)4067486-1 s 1\p DE-604 Stoffer, David S. Sonstige (DE-588)1050751000 oth https://doi.org/10.1007/978-1-4757-3261-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| 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 |
| url | https://doi.org/10.1007/978-1-4757-3261-0 |
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