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1. | Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition By: Randy S. Collica Publisher: SAS Institute Publication Date: 15-NOV-2011 Insert Date: 19-MAR-2013 Slots: 1.0 | Overview: Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition
Understanding the customer is critical to your company's success. In this book, Randy Collica employs SAS Enterprise Miner and the most commonly available techniques for customer relationship management (CRM). You will learn how to segment customers more intelligently and to achieve, or at least get closer to, the one-to-one customer relationship that today's businesses want.
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2. | Custom Tasks for SAS Enterprise Guide Using Microsoft .NET By: Chris Hemedinger Publisher: SAS Institute Publication Date: 07-JAN-2013 Insert Date: 19-MAR-2013 Slots: 1.0 | Overview: Custom Tasks for SAS Enterprise Guide Using Microsoft .NET
Takes readers step-by-step through the process of creating custom tasks for use in SAS Enterprise Guide and SAS Add-In for Microsoft Office. Using standard off-the-shelf development tools for Microsoft .NET, you'll learn how you can hook in your custom processes and make them available to a wide range of SAS users.
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3. | Categorical Data Analysis Using SAS®, Third Edition By: Maura Stokes; Charles Davis; Gary Koch Publisher: SAS Institute Publication Date: 02-JUL-2012 Insert Date: 19-MAR-2013 Slots: 1.0 | Overview: Categorical Data Analysis Using SAS®, Third Edition
Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate the use of the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and CATMOD procedures in a variety of analyses. Topics discussed include assessing association in contingency tables and sets of tables, logistic regression and conditional logistic regression, weighted least...
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4. | By: Peter Taylor Publisher: Infinite Ideas Publication Date: 02-JAN-2013 Insert Date: 24-FEB-2013 Slots: 1.0 | Overview: The Thirty-Six Stratagems
The 36 Stratagems is a Chinese essay used to illustrate a series of stratagems used in politics and in war, as well as in civilian life, often through unorthodox means. Approximately 300 years ago an unknown scholar compiled the stratagems, a strangely seductive meditation on deception. The stratagems are ordered in categories according to your current position. 'Advantageous Stratagems', 'Opportunistic Stratagems' and 'Attacking Stratagems' are used when you are in a winning situation. 'Confusion Stratagems', 'Deception Stratagems' and 'Desperate Stratagems' are used when you are in a...
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5. | Implementing CDISC Using SAS: An End-to-End Guide By: Chris Holland; Jack Shostak Publisher: SAS Institute Publication Date: 23-NOV-2012 Insert Date: 24-FEB-2013 Slots: 1.0 | Overview: Implementing CDISC Using SAS: An End-to-End Guide
An all-inclusive guide on how to implement and analyze Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submissions. Topics covered include creating and using metadata, developing conversion specifications, implementing and validating SDTM and ADaM data, determining solutions for legacy data conversions, and preparing data for regulatory submission.
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6. | Carpenter's Guide to Innovative SAS Techniques By: Art Carpenter Publisher: SAS Institute Publication Date: 16-MAR-2012 Insert Date: 24-FEB-2013 Slots: 1.0 | Overview: Carpenter's Guide to Innovative SAS Techniques
Offers advanced SAS programmers an all-in-one programming reference that includes advanced topics not easily found outside the depths of SAS documentation or more advanced training classes.
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7. | The Little SAS® Book: A Primer By: Lora D. Delwiche; Susan J. Slaughter Publisher: SAS Institute Publication Date: 12-OCT-2012 Insert Date: 11-FEB-2013 Slots: 1.0 | Overview: The Little SAS® Book: A Primer
A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a user-friendly approach so readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a self-contained, two-page layout complete with examples and graphics.
The fifth edition has been completely updated to reflect the new default output introduced with SAS 9.3. In addition, there is a now a full chapter devoted to ODS Graphics including the SGPLOT and SGPANEL procedures. Other...
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8. | PROC DOCUMENT by Example Using SAS® By: Michael Tuchman Publisher: SAS Institute Publication Date: 02-NOV-2012 Insert Date: 11-FEB-2013 Slots: 1.0 | Overview: PROC DOCUMENT by Example Using SAS®
Explains how to work with the DOCUMENT procedure, which is designed to store your SAS procedure output for replay at a later time without having to re-run your original SAS code.
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9. | Applied Data Mining for Forecasting Using SAS® By: Tim Rey; Arthur Kordon; Chip Wells Publisher: SAS Institute Publication Date: 01-AUG-2012 Insert Date: 11-FEB-2013 Slots: 1.0 | Overview: Applied Data Mining for Forecasting Using SAS®
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.
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10. | Applied Econometrics Using the SAS® System By: Vivek B. Ajmani Publisher: Wiley-Interscience Publication Date: 15-JUN-2009 Insert Date: 01-FEB-2013 Slots: 1.0 | Overview: Applied Econometrics Using the SAS® System
The first cutting-edge guide to using the SAS® system for the analysis of econometric data
Applied Econometrics Using the SAS® System is the first book of its kind to treat the analysis of basic econometric data using SAS®, one of the most commonly used software tools among today's statisticians in business and industry. This book thoroughly examines econometric methods and discusses how data collected in economic studies can easily be analyzed using the SAS® system.
In addition to addressing the computational aspects of econometric data analysis, the author provides a statistical...
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11. | Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them By: Ron Cody Publisher: SAS Institute Publication Date: 02-OCT-2012 Insert Date: 30-JAN-2013 Slots: 1.0 | Overview: Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them
Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them presents often-used programming tasks that readers can either use as presented or modify to fit their own programs, all in one handy volume. Esteemed author and SAS expert Ron Cody covers such topics as character to numeric conversion, automatic detection of numeric errors, combining summary data with detail data, restructuring a data set, grouping values using several innovative methods, performing an operation on all character or all numeric variables in a SAS data set, and much more! SAS users of all levels...
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12. | Analyzing Receiver Operating Characteristic Curves with SAS By: Mithat Gonen Publisher: SAS Institute Publication Date: 10-OCT-2007 Insert Date: 30-JAN-2013 Slots: 1.0 | Overview: Analyzing Receiver Operating Characteristic Curves with SAS
In this example-laden book, author Mithat Günen illustrates the existing SAS procedures that can be tailored to produce ROC curves and expands upon further analyses using other SAS procedures and macros. Both parametric and nonparametric methods for analyzing ROC curves are covered in detail.
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13. | Data Quality for Analytics Using SAS By: Dr. Gerhard Svolba Publisher: SAS Institute Publication Date: 27-APR-2012 Insert Date: 24-JAN-2013 Slots: 1.0 | Overview: Data Quality for Analytics Using SAS
Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. Gerhard Svolba's Data Quality for Analytics Using SAS focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. The book is made up of three parts. The first part, which is conceptual, defines data quality and contains text, definitions, explanations, and examples. The second part shows how the data quality status can be profiled and the ways that data quality can be improved with analytical methods. The final part...
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14. | By: Robert Allison Publisher: SAS Institute Publication Date: 16-MAR-2012 Insert Date: 16-DEC-2012 Slots: 1.0 | Overview: SAS/GRAPH: Beyond the Basics
Robert Allison's SAS/GRAPH: Beyond the Basics collects examples that demonstrate a variety of techniques you can use to create custom graphs using SAS/GRAPH software. SAS/GRAPH is known for its flexibility and power, but few people know how to use it to its full potential. Written for the SAS programmer with experience using Base SAS to work with data, the book includes examples that can be used in a variety of industry sectors. SAS/GRAPH: Beyond the Basics will help you create the exact graph you want.
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15. | SAS Hash Object Programming Made Easy By: Michele M. Burlew Publisher: SAS Institute Publication Date: 14-SEP-2012 Insert Date: 16-DEC-2012 Slots: 1.0 | Overview: SAS Hash Object Programming Made Easy
Hash objects, an efficient look-up tool in the SAS DATA step, are object-oriented programming structures that function differently from traditional SAS language statements. Michele Burlew's SAS Hash Object Programming Made Easy shows readers how to use these powerful features, which they can program to quickly look up and manage data and to conserve computing resources. SAS provides various look-up techniques, and hash objects are among the newest, so therefore many users may not have yet used them. Because the examples presented vary in complexity, SAS Hash Object Programming Made Easy is...
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16. | Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS By: Edward F. Vonesh Publisher: SAS Institute Publication Date: 03-SEP-2012 Insert Date: 16-DEC-2012 Slots: 1.0 | Overview: Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS
Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear models. Written in a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and understanding to conduct complex analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. Using numerous and complex examples, the...
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17. | Building Business Intelligence Using SAS: Content Development Examples By: Tricia Aanderud; Angela Hall Publisher: SAS Institute Publication Date: 25-JAN-2012 Insert Date: 08-DEC-2012 Slots: 1.0 | Overview: Building Business Intelligence Using SAS: Content Development Examples
Focusing on the SAS BI client, the authors provide a quick-start guide loaded with examples and tips that will help users move quickly from using only one BI client tool to using a significant portion of the system.
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18. | By: Ron Cody Publisher: SAS Institute Publication Date: 22-AUG-2011 Insert Date: 22-JUL-2012 Slots: 1.0 | Overview: SAS Statistics by Example
Offers a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--it provides an easy-to-follow, how-to approach to statistical analysis not found in other books.
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19. | Logistic Regression Using SAS: Theory and Application, Second Edition By: Paul D. Allison Publisher: SAS Institute Publication Date: 30-MAR-2012 Insert Date: 16-JUL-2012 Slots: 1.0 | Overview: Logistic Regression Using SAS: Theory and Application, Second Edition
Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Includes several real-world examples in full detail.
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20. | SAS® 9.3 ODS Graphics: Getting Started with Business and Statistical Graphics By: SAS Institute Publisher: SAS Institute Publication Date: 16-AUG-2011 Insert Date: 21-NOV-2011 Slots: 1.0 | Overview: SAS® 9.3 ODS Graphics: Getting Started with Business and Statistical Graphics
SAS 9.3 ODS Graphics: Getting Started with Business and Statistical Graphics provides an overview and quick-start examples of ODS Graphics functionality, which is an extension of the SAS Output Delivery System (ODS). Many SAS procedures use ODS Graphics functionality to produce graphs as automatically as they produce tables. In addition, SAS provides a full suite of ODS Graphics software that facilitates the creation of custom, stand-alone graphs. This software includes the Graph Template Language, ODS Graphics procedures, ODS Graphics Designer, and ODS Graphics Editor. This ebook also...
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