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  • 1
    Online Resource
    Online Resource
    Predictive modeling with SAS Enterprise Miner : practical solutions for business applications (2017)
    Cary, NC : SAS Institute
    Details
    ISBN: 9781635260380 , 1635260388
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Enterprise miner ; SAS (Computer file) ; Business ; Data processing ; Data mining ; Regression analysis ; Computer programs ; Statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: A step-by-step guide to predictive modeling! Kattamuri Sarma's Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition, will show you how to develop and test predictive models quickly using SAS Enterprise Miner. Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries. Incorporating the latest version of Enterprise Miner, this third edition also expands the section on time series. Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. Topics covered include logistic regression, regression, decision trees, neural networks, variable clustering, observation clustering, data imputation, binning, data exploration, variable selection, variable transformation, and much more, including analysis of textual data. Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner!
    Note: Previous edition published: 2013. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed September 8, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781635260380/?ar
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  • 2
    Online Resource
    Online Resource
    SAS 9.4 SQL procedure : user's guide (2016)
    Cary, NC : SAS Institute
    Details
    ISBN: 9781629608167 , 1629608165
    Language: English
    Pages: 1 online resource (xiv, 468 pages) , illustrations
    Edition: Fourth edition.
    Keywords: SAS (Computer file) ; SQL (Computer program language) ; Mathematical statistics ; Data processing ; Statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Describes the basics of using the SQL procedure and provides comprehensive reference information. The usage information includes retrieving data from single and multiple tables; selecting specific data from tables; subsetting, ordering, and summarizing data; updating tables; combining tables to create new tables and useful reports; performing queries on database management system (DBMS) tables; using PROC SQL with the SAS macro facility; and debugging and optimizing PROC SQL code. The reference information includes statements, dictionary components, and system options.
    Note: Includes bibliographical references and index. - Description based on online resource; title from cover (Safari, viewed February 1, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781629608167/?ar
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  • 3
    Online Resource
    Online Resource
    Predictive modeling with SAS Enterprise Miner : practical solutions for business applications (2013)
    Cary, NC : SAS Institute
    Details
    ISBN: 9781607648185 , 1607648180
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 2nd ed.
    Keywords: Enterprise miner ; SAS (Computer file) ; Business ; Data processing ; Data mining ; Regression analysis ; Computer programs ; Statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Learn the theory behind and methods for predictive modeling using SAS Enterprise Miner. Learn how to produce predictive models and prepare presentation-quality graphics in record time with Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Second Edition. If you are a graduate student, researcher, or statistician interested in predictive modeling; a data mining expert who wants to learn SAS Enterprise Miner; or a business analyst looking for an introduction to predictive modeling using SAS Enterprise Miner, you'll be able to develop predictive models quickly and effectively using the theory and examples presented in this book. Author Kattamuri Sarma offers the theory behind, programming steps for, and examples of predictive modeling with SAS Enterprise Miner, along with exercises at the end of each chapter. You'll gain a comprehensive awareness of how to find solutions for your business needs. This second edition features expanded coverage of the SAS Enterprise Miner nodes, now including File Import, Time Series, Variable Clustering, Cluster, Interactive Binning, Principal Components, AutoNeural, DMNeural, Dmine Regression, Gradient Boosting, Ensemble, and Text Mining. Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner. This book is part of the SAS Press program.
    Note: Previous ed.: 2007. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed June 24, 2014)
    URL: https://learning.oreilly.com/library/view/-/9781607648185/?ar
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  • 4
    Online Resource
    Online Resource
    What's new in SAS 9.4 (2013)
    Cary, NC : SAS Institute
    Details
    ISBN: 9781629609775 , 1629609773
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: SAS (Computer file) ; Statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Gives you a quick, convenient overview of new functionality, enhanced features, and new products that you might use in SAS 9.4.
    Note: "SAS documentation.". - Includes bibliographical references. - Description based on online resource; title from title page (viewed January 9, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781629609775/?ar
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  • 5
    Online Resource
    Online Resource
    What's new in SAS 9.3 (2011)
    Cary, NC : SAS Institute
    Details
    Language: English
    Pages: 1 online resource ([210] p.) , ill.
    Keywords: SAS (Computer file) ; Statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Gives you a quick, convenient overview of new functionality, enhanced features, and new products that you might use in SAS 9.3.
    Note: Cover title. - "SAS the power to know.". - "SAS documentation.". - Includes bibliographical references
    URL: https://learning.oreilly.com/library/view/-/9781612900308/?ar
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  • 6
    Online Resource
    Online Resource
    Statistical programming in SAS (2010)
    Cary, N.C. : SAS Institute
    Details
    ISBN: 9781607645047 , 1607645041
    Language: English
    Pages: 1 online resource (xiv, 444 p.) , ill.
    Parallel Title: Erscheint auch als
    DDC: 005.5/5
    Keywords: SAS (Computer file) ; Statistics ; Data processing ; Electronic books ; local
    Abstract: In Statistical Programming in SAS, author A. John Bailer integrates SAS tools with interesting statistical applications and uses SAS 9.2 as a platform to introduce programming ideas for statistical analysis, data management, and data display and simulation. Written using a reader-friendly and narrative style, the book includes extensive examples and case studies to present a well-structured introduction to programming issues. This book has two parts. The first part addresses the nuts and bolts of programming, including fostering good programming habits, getting external data sets into SAS to construct an analysis data set, generating basic descriptive statistical summaries, producing customized tables, generating more attractive output, and producing high-quality graphical displays. The second part emphasizes programming in the context of a DATA step, in macros, and in SAS/IML software. Examples of statistical methods and concepts not always encountered in basic statistics courses (for example, bootstrapping, randomization tests, and jittering) are used to illustrate programming ideas. This book provides extensive illustrations of the new ODS Statistical Graphics procedures in SAS, a description of the new ODS Graphics Editor, and a brief introduction to some of the capabilities of SAS/IML Studio, such as producing dynamically linked data displays and invoking R from SAS.
    Note: Description based on print version record. - Includes bibliographical references (p. 422) and index
    URL: https://learning.oreilly.com/library/view/-/9781599946566/?ar
    URL: lizenzpflichtig
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  • 7
    Online Resource
    Online Resource
    Statistical programming With SAS/IML software (2010)
    Cary, N.C. : SAS Institute
    Details
    ISBN: 9781607647706 , 1607647702
    Language: English
    Pages: 1 online resource (451 p.) , ill.
    Parallel Title: Erscheint auch als
    Keywords: SAS (Computer file) ; IML (Computer program language) ; R (Computer program language) ; Statistics ; Data processing ; Mathematical statistics ; Computer programs ; Electronic books ; local
    Abstract: SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin's Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML Studio application efficiently. In addition to providing a comprehensive introduction to the software, the book also shows how to create and modify statistical graphs, call SAS procedures and R functions from a SAS/IML program, and implement such modern statistical techniques as simulations and bootstrap methods in the SAS/IML language. Written for data analysts working in all industries, graduate students, and consultants, Statistical Programming with SAS/IML Software includes numerous code snippets and more than 100 graphs. This book is part of the SAS Press program.
    Note: Description based on print version record. - Includes index
    URL: https://learning.oreilly.com/library/view/-/9781607646631/?ar
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