Time Series Analysis Using SAS Enterprise Guide

This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive illustrations of the SAS Enterprise Guide software. This book is a practical guide to time series analyses in SAS Enterprise Guide, and is valuable resource that benefits a wide variety of sectors. 

List of contents

1 Introduction.- 1.1 Overview.- 1.2 SAS Enterprise Guide.- 2 Basic Statistics and Regression Models.- 2.1 Calculating New Variables.- 2.2 Normality Test.- 2.3 Simple Linear Regression.- 2.4 Multiple Linear Regression.- 3 Time Series.- 3.1 Smoothing Methods.- 3.2 ARIMA Model.- 3.3 Regression Model with AR Errors.- 4 Panel Models.- 4.1 Fixed effect.- 4.2 Random Effect.- References.

Product details

• Authors: Shuangzh Liu, Shuangzhe Liu, Timin Liu, Timina Liu, Lei Shi
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 22.04.2020
• EAN: 9789811503207
• ISBN: 978-981-1503-20-7
• No. of pages: 131
• Dimensions: 156 mm x 234 mm x 9 mm
• Weight: 226 g
• Illustrations: VIII, 131 p. 116 illus., 115 illus. in color.
• Series: SpringerBriefs in Statistics
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Mathematische und statistische Software, COMPUTERS / Mathematical & Statistical Software, BUSINESS & ECONOMICS / Econometrics, Computers - Other Applications