Time Series Analysis : With Applications in R
Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time series models and their applications. Although the emphasis is on time domain ARIMA models and their analysis, the new edition devotes two chapters to the frequency domain and three to...
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| Auteurs principaux: | , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edição: | 2nd ed. 2008. |
| Colecção: | Springer Texts in Statistics
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| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
L'impression du document génère 500 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Time series analysis, with applications in R, Jonathan D. Cryer, Kung-Sik Chan, Second edition, New York, Springer, 2008, 1 vol. (XIII-491 p.), Springer texts in statistics, 978-0-387-75958-6 • Polymer physics, with contributions by H. Biederman ... [et al.], Berlin, Springer-Verlag, 1990, 216 p., Advances in polymer science, 3-540-52159-3 • Time Series Analysis, with applications in R, by Jonathan D. Cryer, Kung-Sik Chan, Second edition, New York, Springer, 2010, 1 vol. (XIII-491 p.), Springer texts in statistics, 978-1-4419-2613-5 • Time series analysis, with applications in R, Jonathan D. Cryer, Kung-Sik Chan, Second edition, New York, Springer, 2008, 1 vol. (XIII-491 p.), Springer texts in statistics, 978-0-387-75958-6 |
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| 100 | 1 | |a Cryer, Jonathan D., |d 1939-2019. | |
| 245 | 1 | 0 | |a Time Series Analysis : |b With Applications in R |c Jonathan D. Cryer, Kung-Sik Chan. |
| 250 | |a 2nd ed. 2008. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Texts in Statistics |x 2197-4136 | |
| 500 | |a L'impression du document génère 500 p. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. Index | ||
| 505 | 1 | |a Fundamental Concepts Trends Models For Stationary Time Series Models For Nonstationary Time Series Model Specification Parameter Estimation Model Diagnostics Forecasting Seasonal Models Time Series Regression Models Time Series Models Of Heteroscedasticity To Spectral Analysis Estimating The Spectrum Threshold Models. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time series models and their applications. Although the emphasis is on time domain ARIMA models and their analysis, the new edition devotes two chapters to the frequency domain and three to time series regression models, models for heteroscedasticity, and threshold models. All of the ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment. The tables and graphical displays are accompanied by the R commands used to produce them. An extensive R package, TSA, which contains many new or revised R functions and all of the data used in the book, accompanies the written text. Script files of R commands for each chapter are available for download. There is also an extensive appendix in the book that leads the reader through the use of R commands and the new R package to carry out the analyses. Jonathan Cryer is Professor Emeritus, University of Iowa, in the Department of Statistics and Actuarial Science. He is a Fellow of the American Statistical Association and received a Collegiate Teaching Award from the University of Iowa College of Liberal Arts and Sciences. He is the author of Statistics for Business: Data Analysis and Modeling, Second Edition, (with Robert B. Miller), the Minitab Handbook, Fifth Edition, (with Barbara Ryan and Brian Joiner), the Electronic Companion to Statistics (with George Cobb), Electronic Companion to Business Statistics (with George Cobb) and numerous research papers. Kung-Sik Chan is Professor, University of Iowa, in the Department of Statistics and Actuarial Science. He is a Fellow of the American Statistical Association and the Institute of the Mathematical Statistics, and an Elected Member of the International Statistical Institute. He received a Faculty Scholar Award from the University of Iowa in 1996. He is the author of Chaos: A Statistical Perspective (with Howell Tong) and numerous research papers. | ||
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| 776 | 0 | |0 125511302 |t Time series analysis |o with applications in R |f Jonathan D. Cryer, Kung-Sik Chan |e Second edition |c New York |n Springer |d 2008 |p 1 vol. (XIII-491 p.) |s Springer texts in statistics |z 978-0-387-75958-6 | |
| 776 | 0 | |0 021665591 |t Polymer physics |f with contributions by H. Biederman ... [et al.] |c Berlin |n Springer-Verlag |d 1990 |p 216 p. |s Advances in polymer science |z 3-540-52159-3 | |
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