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Visual Six Sigma: Making Data Analysis Lean (Wiley and SAS Business Series)
Because of its unique visual emphasis, Visual Six Sigma opens the doors for you to take an active role in data-driven decision making, empowering you to leverage your contextual knowledge to pose relevant questions and make sound decisions.
This book shows you how to leverage dynamic visualization and exploratory data analysis... | | Moving And Accessing Sas 9.1 FilesIn this guide, you'll learn how to use CEDA, the preferred strategy for file access across a network, as well as how to use the traditional method of moving a SAS file across operating environments.
Discover how you can choose from among multiple strategies to easily move or access SAS files across operating environments. In this guide... | | Base SAS 9.1 Procedures Guide, Volumes 1, 2, 3 and 4Base SAS software enables you to bring all of your organization's data into a single system! In this three-volume set you have the complete reference for all Base SAS procedures! It contains numerous examples of how to use procedures to analyze, manage, and present your data. An overview of each procedure is provided, giving you a clear idea of... |
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SAS for Forecasting Time Series, Second EditionIn this second edition of the indispensable SAS for Forecasting Time Series, Brocklebank and Dickey show you how SAS performs univariate and multivariate time series analysis. Taking a tutorial approach, the authors focus on the procedures that most effectively bring results: the advanced procedures ARIMA, SPECTRA, STATESPACE, and VARMAX.... | | SAS/GRAPH 9.1 Reference, Volumes 1 and 2This text provides a detailed introduction to SAS/GRAPH, complete information about each SAS/GRAPH statement and procedure, as well as information about the DATA step graphics interface, complete with example programs.
SAS/GRAPH software extends the power of SAS' data management and analytical tools, giving you the ability to turn data... | | Applying Predictive Analytics: Finding Value in Data
This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be... |
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