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＜電子ブック＞
Time Series Analysis Using SAS Enterprise Guide / by Timina Liu, Shuangzhe Liu, Lei Shi
(SpringerBriefs in Statistics. ISSN:21915458)

版	1st ed. 2020.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2020
大きさ	VIII, 131 p. 116 illus., 115 illus. in color : online resource
著者標目	*Liu, Timina author Liu, Shuangzhe author Shi, Lei author SpringerLink (Online service)
件　名	LCSH:Mathematical statistics—Data processing LCSH:Econometrics FREE:Statistics and Computing FREE:Econometrics
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-981-15-0321-4

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