Simulating Data with SAS

Format:

Book

Author/Creator:

Wicklin, Rick, Author.

Contributor:

SAS Institute.

Language:

English

Subjects (All):

SAS (Computer file).

Information Technology--General and Others.

Local Subjects:

Information Technology--General and Others.

Physical Description:

1 online resource (1 v.) : ill.

Edition:

1st edition

Other Title:

Simulating data with Statistical Analysis System

Place of Publication:

[Place of publication not identified] SAS Institute 2013

Language Note:

English

System Details:

text file

Summary:

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. This book is part of the SAS Press program.

Contents:

Introduction to simulation

Simulating data from common univariate distributions

Preliminary and background information

Simulating data to estimate sampling distributions

Using simulation to evaluate statistical techniques

Strategies for efficient and effective simulation

Advanced simulation of univariate data

Simulating data from basic multivariate distributions

Advanced simulation of multivariate data

Building correlation and covariance matrices

Simulating data for basic regression models

Simulating data for advanced regression models

Simulating data from times series models

Simulating data from spatial models

Resampling and bootstrap methods

Moment matching and the moment-ratio diagram.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references and index.

ISBN:

9781612906225

1612906222

OCLC:

859156883