Programming Techniques for Object-Based Statistical Analysis with SAS Software
by Tanya Kolosova and Samuel Berestizhevsky
Learn valuable time-saving techniques for data analysis and ensure reliability and quality of the results! This book introduces an innovative and reliable approach for developing object-based applications for statistical analysis in SAS. Through detailed examples, each chapter demonstrated how to develop object-based applications using this approach. You will learn to structure data, define statistical classes and their associated actions, define objects, and perform the statistical analysis by calling actions for the objects. Statistical analyses illustrated in the examples include regular time series, calendar time series, and irregular time series. Detailed instructions for extending this technique to other statistical analyses are included. Discover how this object-based approach to statistical analysis can ensure consistent data analysis across teams comprised of data analysts, statisticians, and computer programmers!
Also Recommended: Table-Driven Strategies for Rapid SAS Applications Development; SAS Macro Language: Reference, First Edition; SAS Language: Reference, Version 6, First Edition; SAS Language and Procedures: Usage, First Edition; SAS Language and Procedures: Usage 2, First Edition;
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