Time series : modeling, computation, and inference / Raquel Prado, Marco A.R.Ferreira and Mike West
Material type:
TextSeries: Chapman & Hall/CRC Texts in Statistical SciencePublication details: Boca Raton CRC Press 2021Edition: 2nd edDescription: 452pISBN: - 9781498747028
- 519.55 ORA-R
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BITS Pilani Hyderabad | 510 | General Stack (For lending) | 519.55 ORA-R (Browse shelf(Opens below)) | Available | 44981 |
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| 519.55 KIT-G Introduction to time series modelling with applications in R / | 519.55 McC-R Design and analysis of time series experiments / | 519.55 MCE-T Time series : a first course with bootstrap starter / | 519.55 ORA-R Time series : modeling, computation, and inference / | 519.55 PEL-M Time series modelling with unobserved components / | 519.55 POO-V Quickest detection / | 519.55 VIS-B Hands-on time series analysis with python : from basics to bleeding edge techniques / |
The authors systematically develop a state-of-the-art analysis and modeling of time series. ... this book is well organized and well written. The authors present various statistical models for engineers to solve problems in time series analysis. Readers no doubt will learn state-of-the-art techniques from this book.-Hsun-Hsien Chang, Computing Reviews, March 2012My favorite chapters were on dynamic linear models and vector AR and vector ARMA models.-William Seaver, Technometrics, August 2011 ... a very modern entry to the field of time-series modelling, with a rich reference list of the current lit.
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