Parametri
- 575pagine
- 21 ore di lettura
Maggiori informazioni sul libro
Paperback. Pub. 2009 575 English World Publishing Company The goals of this book are to develop an appreciation for the richness andversatility of modern time series analysis as a tool for analyzing data. and stillmaintain a commitment to theoretical integrity. as exemplified by the seminalworks of illinger (1981) and Hannan (1970) and the texts by ockwell andDavis (1991) and Fuller (1995). The advent of more powerful computing. es-pecially in the last three years . has provided both real data and new softwarethat 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 andJenkins (see Box et al.. 1994). This book is designed to be useful as a textfor courses in time series on several different levels and as a reference workfor practitioners facing the analy...
Acquisto del libro
Springer Texts in Statistics: Time Series Analysis and Its Applications, Robert H. Shumway, David S. Stoffer
- Lingua
- Pubblicato
- 2006
- product-detail.submit-box.info.binding
- (In brossura),
- Condizioni del libro
- Danneggiato
- Prezzo
- 2,44 €
Metodi di pagamento
Ancora nessuna valutazione.
- Titolo
- Springer Texts in Statistics: Time Series Analysis and Its Applications
- Sottotitolo
- With R Examples - Second Edition
- Lingua
- Inglese
- Editore
- World Publishing Company
- Pubblicato
- 2006
- Formato
- In brossura
- Pagine
- 575
- ISBN10
- 7510004381
- ISBN13
- 9787510004384
- Serie
- Tag
- Libri di testo, Tecnologia & Ingegneria, Scienza e Matematica, Matematica, Statistica, Analisi dei dati
- Descrizione
- Paperback. Pub. 2009 575 English World Publishing Company The goals of this book are to develop an appreciation for the richness andversatility of modern time series analysis as a tool for analyzing data. and stillmaintain a commitment to theoretical integrity. as exemplified by the seminalworks of illinger (1981) and Hannan (1970) and the texts by ockwell andDavis (1991) and Fuller (1995). The advent of more powerful computing. es-pecially in the last three years . has provided both real data and new softwarethat 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 andJenkins (see Box et al.. 1994). This book is designed to be useful as a textfor courses in time series on several different levels and as a reference workfor practitioners facing the analy...