UID:
almahu_9948253960402882
Format:
VIII, 131 p. 116 illus., 115 illus. in color.
,
online resource.
Edition:
1st ed. 2020.
ISBN:
9789811503214
Series Statement:
SpringerBriefs in Statistics,
Content:
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.
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.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9789811503207
Additional Edition:
Printed edition: ISBN 9789811503221
Language:
English
DOI:
10.1007/978-981-15-0321-4
URL:
https://doi.org/10.1007/978-981-15-0321-4
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