Title
Introduction to Time Series and Forecasting (Springer Texts in Statistics),Used
Delivery time: 8-12 business days (International)
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windowsbased computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series modelbuilding are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menudriven and can be used with minimal investment of time in the computational details.The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and statespace models, with an optional chapter on spectral analysis. Many additional special topics are also covered.New to this edition:A chapter devoted to Financial Time SeriesIntroductions to Brownian motion, Lvy processes and It calculusAn expanded section on continuoustime ARMA processes
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
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If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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