SAS for Forecasting Time Series Third Edition is popular PDF and ePub book, written by John C. Brocklebank, Ph.D. in 2018-03-14, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, SAS for Forecasting Time Series Third Edition can be Read Online from any device for your convenience.
SAS for Forecasting Time Series Third Edition Book PDF Summary
To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of the newer methods are variations on the basic ARIMA structures. Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods: ARIMA models Vector autoregressive models Exponential smoothing models Unobserved component and state-space models Seasonal adjustment Spectral analysis Focusing on application, this guide teaches a wide range of forecasting techniques by example. The examples provide the statistical underpinnings necessary to put the methods into practice. The following up-to-date SAS applications are covered in this edition: The ARIMA procedure The AUTOREG procedure The VARMAX procedure The ESM procedure The UCM and SSM procedures The X13 procedure The SPECTRA procedure SAS Forecast Studio Each SAS application is presented with explanation of its strengths, weaknesses, and best uses. Even users of automated forecasting systems will benefit from this knowledge of what is done and why. Moreover, the accompanying examples can serve as templates that you easily adjust to fit your specific forecasting needs. This book is part of the SAS Press program.
Detail Book of SAS for Forecasting Time Series Third Edition PDF
- Author : John C. Brocklebank, Ph.D.
- Release : 14 March 2018
- Publisher : SAS Institute
- ISBN : 9781629605449
- Genre : Computers
- Total Page : 384 pages
- Language : English
- PDF File Size : 17,9 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book SAS for Forecasting Time Series Third Edition by John C. Brocklebank, Ph.D., don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.
