Simulating Data with SAS (Hardcover Edition)

Simulating Data with SAS by Rick Wicklin, published by SAS Institute on August 23, 2019, is a comprehensive resource for those engaged in statistical programming and research. This hardcover edition spans 362 pages and is presented in English. The book focuses on data simulation, a crucial technique in the field, and compiles essential algorithms and programming methods for effective data simulation, making it accessible for both practicing statisticians and statistical programmers.
Readers will find detailed discussions on simulating data from various univariate and multivariate distributions, as well as techniques for evaluating statistical methods through simulation. The book also addresses the simulation of correlated data, regression model data, and spatial data, while providing valuable tips for beginners and advanced practitioners alike. With its focus on practical applications, Simulating Data with SAS serves as a vital tool for programmers, analysts, researchers, and students utilizing SAS software in their work.
Official synopsis Publisher
Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin’s Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers.
This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners.
As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software.
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