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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Time Series Analysis Using SAS Enterprise Guide ([EBook]) / by Timina Liu, Shuangzhe Liu, Lei Shi.
Author
Liu, Timina
Added Personal Name
Liu, Shuangzhe
Shi, Lei
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2020.
Publication
Singapore : : Springer Singapore : : Imprint: Springer, , 2020.
Physical Details
VIII, 131 p. 116 illus., 115 illus. in color. : online resource.
Series
SpringerBriefs in Statistics
2191-544X
ISBN
9789811503214
Summary Note
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.:
Contents note
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.
Mode of acces to digital resource
Digital book. Cham Springer Nature 2020. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format
System details note
- Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-981-15-0321-4
Links to Related Works
Subject References:
Econometrics
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Statistics
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Statistics and Computing/Statistics Programs
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Authors:
author
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Liu, Shuangzhe
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Liu, Timina
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Shi, Lei
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Corporate Authors:
SpringerLink (Online service)
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Series:
SpringerBriefs in Statistics
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Classification:
519.5
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