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Time Series Analysis Using SAS Enterprise Guide de Timina Liu

Time Series Analysis Using SAS Enterprise Guide: SpringerBriefs in Statistics

Autor Timina Liu, Shuangzhe Liu, Lei Shi
en Limba Engleză Paperback – 20 feb 2020
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. 
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Specificații

ISBN-13: 9789811503207
ISBN-10: 9811503206
Pagini: 131
Ilustrații: VIII, 131 p. 116 illus., 115 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria SpringerBriefs in Statistics

Locul publicării:Singapore, Singapore

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Presents basic statistical, regression, and time series definitions and methods in a practical and easy-to-understand style Shows how SAS Enterprise Guide can be used to perform time series analyses, combining step-by-step examples with real-world data to do so Serves as a valuable reference tool, clearly presenting time series techniques