02894nam 22005535 450 99641827740331620200630004837.0981-15-0321-410.1007/978-981-15-0321-4(CKB)4100000010473883(DE-He213)978-981-15-0321-4(MiAaPQ)EBC6121715(PPN)242979904(EXLCZ)99410000001047388320200219d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierTime Series Analysis Using SAS Enterprise Guide[electronic resource] /by Timina Liu, Shuangzhe Liu, Lei Shi1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (VIII, 131 p. 116 illus., 115 illus. in color.) SpringerBriefs in Statistics,2191-544X981-15-0320-6 Includes bibliographical references.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.SpringerBriefs in Statistics,2191-544XStatistics EconometricsStatistics and Computing/Statistics Programshttps://scigraph.springernature.com/ontologies/product-market-codes/S12008Econometricshttps://scigraph.springernature.com/ontologies/product-market-codes/W29010Statistics .Econometrics.Statistics and Computing/Statistics Programs.Econometrics.519.55Liu Timinaauthttp://id.loc.gov/vocabulary/relators/aut1017957Liu Shuangzheauthttp://id.loc.gov/vocabulary/relators/autShi Leiauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK996418277403316Time Series Analysis Using SAS Enterprise Guide2391153UNISA