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Statistical Data Mining Using SAS Applications

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features;

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SAS Essentials

A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;

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Data Mining Using SAS Enterprise Miner

The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner. The Sample, Explore, Modify, Model, and;

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Using SAS for Data Management, Statistical Analysis, and Graphics

A unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn;

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Using SAS for Data Management, Statistical Analysis, and Graphics

graphics A unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to;

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Statistical Data Analysis Using SAS

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for;

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Statistical Programming in SAS

a platform to introduce programming ideas for statistical analysis, data management, and data display and simulation. Written using a reader;

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A Handbook of Statistical Graphics Using SAS ODS

of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics;

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A Handbook of Statistical Graphics Using SAS ODS

of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics;

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Simulating Data with SAS

Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together;

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Data Mining For Business Analytics

data mining. Featuring hands-on applications with JMP Pro(R), a statistical package from the SAS Institute, the book uses engaging, real-world;

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Analysis of Clinical Trials Using SAS

setting and to illustrate how to implement the method rapidly and efficiently using the power of SAS software. Topics reflect the International;

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Analysis of Clinical Trials Using SAS

setting and to illustrate how to implement the method rapidly and efficiently using the power of SAS software. Topics reflect the International;

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Analysis of Clinical Trials Using SAS

setting and to illustrate how to implement the method rapidly and efficiently using the power of SAS software. Topics reflect the International;

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Statistical Analysis Of Medical Data Using Sas

interpret the output.Statistical Analysis of Medical Data Using SAS demonstrates how to use SAS to analyze medical data. Each chapter;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical;

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A Handbook of Statistical Analyses using SAS

Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description;

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Handbook Of Statistical Analyses Using Sas

Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description;

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SAS for R Users

statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software;

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Statistical Programming in SAS

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system;

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Statistical Programming in SAS

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system;

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Practical Statistical Methods

throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range;

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Practical Statistical Methods

throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range;

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Supervised Machine Learning

of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness;

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Supervised Machine Learning

of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness;

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