Programming Techniques for Object-Based Statistical Analysis with SAS Software

Abstract

From the Publisher: 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 demonstrates 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! Supports releases 6.09 and higher of SAS software. Author Biography: Tanya Kolosova Tanya Kolosova specializes in time series and forecasting, operations research, and statistical training in her work as an independent consultant. Samuel Berestizhevsky Samuel Berestizhevsky's expertise lies in statistical data analysis, the design of experiments, quality control and assurance, system analysis, and training, which he implements at his customer sites as an independent consultant.