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The methodical tools are taken from time series analysis, from periodogram and wavelet analysis, from correlation and principal component analysis, and from categorical data and event-time analysis.
The applied models are - among others - the ARIMA and GARCH model, and inhomogeneous Poisson processes.
Further, we deal with a number of special statistical topics, e.g. the problem of trend-, season- and autocorrelation-adjustment, and with simultaneous statistical inference.
Programs in R and data sets on climate series, provided at the author¿s homepage, enable readers (statisticians, meteorologists, other natural scientists) to perform their own exercises and discover their own applications.
The methodical tools are taken from time series analysis, from periodogram and wavelet analysis, from correlation and principal component analysis, and from categorical data and event-time analysis.
The applied models are - among others - the ARIMA and GARCH model, and inhomogeneous Poisson processes.
Further, we deal with a number of special statistical topics, e.g. the problem of trend-, season- and autocorrelation-adjustment, and with simultaneous statistical inference.
Programs in R and data sets on climate series, provided at the author¿s homepage, enable readers (statisticians, meteorologists, other natural scientists) to perform their own exercises and discover their own applications.
Helmut Pruscha, Professor for Mathematics, has served as Academic Director at the University of Munich's Institute of Mathematics. Before doing so, he had worked for many years as a statistician at a Max-Planck-Institute for neurobiology. His research interests include topics concerning applied statistics and mathematical statistics, especially categorical time series and point processes. He has published several textbooks in German.
Within the context of the general climate discussion, the evaluation of climate series gains growing importance ?
Provides application of statistical methods to climatological data Techniques for treating series records
Applying among others ARIMA and GARCH model Programs in R and data sets on climate series are provided at the author's homepage
Includes supplementary material: [...]
| Erscheinungsjahr: | 2012 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 184 |
| Inhalt: |
viii
176 S. |
| ISBN-13: | 9783642320835 |
| ISBN-10: | 364232083X |
| Sprache: | Englisch |
| Herstellernummer: | 86125015 |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Autor: | Pruscha, Helmut |
| Auflage: | 2013 |
| Hersteller: |
Springer Berlin
Springer Berlin Heidelberg |
| Maße: | 241 x 160 x 15 mm |
| Von/Mit: | Helmut Pruscha |
| Erscheinungsdatum: | 30.10.2012 |
| Gewicht: | 0,448 kg |
Helmut Pruscha, Professor for Mathematics, has served as Academic Director at the University of Munich's Institute of Mathematics. Before doing so, he had worked for many years as a statistician at a Max-Planck-Institute for neurobiology. His research interests include topics concerning applied statistics and mathematical statistics, especially categorical time series and point processes. He has published several textbooks in German.
Within the context of the general climate discussion, the evaluation of climate series gains growing importance ?
Provides application of statistical methods to climatological data Techniques for treating series records
Applying among others ARIMA and GARCH model Programs in R and data sets on climate series are provided at the author's homepage
Includes supplementary material: [...]
| Erscheinungsjahr: | 2012 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 184 |
| Inhalt: |
viii
176 S. |
| ISBN-13: | 9783642320835 |
| ISBN-10: | 364232083X |
| Sprache: | Englisch |
| Herstellernummer: | 86125015 |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Autor: | Pruscha, Helmut |
| Auflage: | 2013 |
| Hersteller: |
Springer Berlin
Springer Berlin Heidelberg |
| Maße: | 241 x 160 x 15 mm |
| Von/Mit: | Helmut Pruscha |
| Erscheinungsdatum: | 30.10.2012 |
| Gewicht: | 0,448 kg |
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