SAS High-performance Forecasting 3.1

SAS High-performance Forecasting 3.1
Author: SAS Institute
Publisher: SAS Institute
Total Pages: 0
Release: 2009
Genre: Forecasting
ISBN: 9781599947952

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Documents the syntax of the SAS High-Performance Forecasting product and demonstrates its use through examples.

SAS High-Performance Forecasting 2.3

SAS High-Performance Forecasting 2.3
Author:
Publisher: Sas Inst
Total Pages: 492
Release: 2007
Genre: Computers
ISBN: 9781599945705

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This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples.

SAS High-performance Forecasting 2.2

SAS High-performance Forecasting 2.2
Author:
Publisher: SAS Institute
Total Pages: 0
Release: 2006
Genre: Electronic data processing
ISBN: 9781599941684

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This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples.

SAS High-performance Forecasting 9.1

SAS High-performance Forecasting 9.1
Author: SAS Institute
Publisher: Sas Inst
Total Pages: 86
Release: 2004
Genre: Computers
ISBN: 9781590472354

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In virtually all businesses, poor forecasts lead to ill-devised plans, which can result in the loss of business, customers, and market share, as well as an increase in costs. This title guides you through the SAS High-Performance Forecasting product, designed to help your business succeed by translating large amounts of transactional data into more accurate, automatic forecasts on a large scale. High-Performance Forecasting enables you to accumulate the transactional data into time series data, select the appropriate models and generates forecasts of the time series automatically, and perform trend and seasonal analysis on transactional data for millions of variables. You will learn to forecast intermittent time series (slow moving goods) and to address forecast aggregation hierarchies (by-groups). This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples. This title is also available online. This title is designed to help IT professionals and forecasting experts utilize the full analytical sophistication of SAS High-Performance Forecasting for large-scale forecasting projects. Supports releases 9.1 and higher of SAS software.

Sas R High-performance Forecasting 9.1.3

Sas R High-performance Forecasting 9.1.3
Author: SAS Institute
Publisher: Sas Inst
Total Pages: 336
Release: 2004
Genre: Computers
ISBN: 9781590475645

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This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples. This title is also available online.

Sasr 9.1.3 High-performance Forecasting

Sasr 9.1.3 High-performance Forecasting
Author: SAS Institute
Publisher: Sas Inst
Total Pages: 584
Release: 2004
Genre: Computers
ISBN: 9781590476970

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This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples. This title is also available online.

Applied Data Mining for Forecasting Using SAS

Applied Data Mining for Forecasting Using SAS
Author: Tim Rey
Publisher: SAS Institute
Total Pages: 336
Release: 2012-07-02
Genre: Computers
ISBN: 1612900933

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Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable. This book is essential for forecasting practitioners who need to understand the practical issues involved in applied forecasting in a business setting. Through numerous real-world examples, the authors demonstrate how to effectively use SAS software to meet their industrial forecasting needs. This book is part of the SAS Press program.

SAS for Forecasting Time Series

SAS for Forecasting Time Series
Author: John C. Brocklebank
Publisher: John Wiley & Sons
Total Pages: 424
Release: 2003-07-14
Genre: Mathematics
ISBN: 9780471395669

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Easy-to-read and comprehensive, this book shows how the SAS System performs multivariate time series analysis and features the advanced SAS procedures STATSPACE, ARIMA, and SPECTRA. The interrelationship of SAS/ETS procedures is demonstrated with an accompanying discussion of how the choice of a procedure depends on the data to be analysed and the reults desired. Other topics covered include detecting sinusoidal components in time series models and performing bivariate corr-spectral analysis and comparing the results with the standard transfer function methodology. The authors? unique approach to integrating students in a variety of disciplines and industries. Emphasis is on correct interpretation of output to draw meaningful conclusions. The volume, co-pubished by SAS and JWS, features both theory and practicality, and accompanies a soon-to-be extensive library of SAS hands-on manuals in a multitude of statistical areas. The book can be used with a number of hardware-specific computing machines including CMS, Mac, MVS, Opem VMS Alpha, Opmen VMS VAX, OS/390, OS/2, UNIX, and Windows.

Demand-Driven Forecasting

Demand-Driven Forecasting
Author: Charles W. Chase
Publisher: John Wiley & Sons
Total Pages: 335
Release: 2009-07-23
Genre: Business & Economics
ISBN: 0470531010

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Praise for Demand-Driven Forecasting A Structured Approach to Forecasting "There are authors of advanced forecasting books who take an academic approach to explaining forecast modeling that focuses on the construction of arcane algorithms and mathematical proof that are not very useful for forecasting practitioners. Then, there are other authors who take a general approach to explaining demand planning, but gloss over technical content required of modern forecasters. Neither of these approaches is well-suited for helping business forecasters critically identify the best demand data sources, effectively apply appropriate statistical forecasting methods, and properly design efficient demand planning processes. In Demand-Driven Forecasting, Chase fills this void in the literature and provides the reader with concise explanations for advanced statistical methods and credible business advice for improving ways to predict demand for products and services. Whether you are an experienced professional forecasting manager, or a novice forecast analyst, you will find this book a valuable resource for your professional development." —Daniel Kiely, Senior Manager, Epidemiology, Forecasting & Analytics, Celgene Corporation "Charlie Chase has given forecasters a clear, responsible approach for ending the timeless tug of war between the need for 'forecast rigor' and the call for greater inclusion of 'client judgment.' By advancing the use of 'domain knowledge' and hypothesis testing to enrich base-case forecasts, he has empowered professional forecasters to step up and impact their companies' business results favorably and profoundly, all the while enhancing the organizational stature of forecasters broadly." —Bob Woodard, Vice President, Global Consumer and Customer Insights, Campbell Soup Company

SAS/ETS User's Guide, Version 8

SAS/ETS User's Guide, Version 8
Author: SAS Institute
Publisher: Sas Inst
Total Pages: 670
Release: 1999
Genre: Computers
ISBN: 9781580254892

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