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As the foundation for SAS Analytics, SAS/STAT provides state-of-the-art statistical analysis software that .
As the foundation for SAS Analytics, SAS/STAT provides state-of-the-art statistical analysis software that empowers you to make new discoveries. SAS/STAT includes exact techniques for small data sets, high-performance statistical modeling tools for large data tasks and modern methods for analyzing data with missing values. Use proven, validated statistical methods. With more than four decades of experience developing advanced statistical analysis software, SAS has an established reputation for delivering superior, reliable results.
Series: SAS series in statistical applications.
100% Money Back Guarantee. Shipped to over one million happy customers. In addition to their university positions, both authors publish widely in statistical and applied journals, consult in industry, and serve as Consulting Statisticians to their state Agricultural Experiment Stations. They are both fellows of the American Statistical Associations. Dr. Spector has also had extensive experience with the SAS System. Series: SAS series in statistical applications.
Categories: Computing: General. SAS System for Linear Models, 1986. By (author) Inc SAS Institute, By (author) SAS Institute. AbeBooks may have this title (opens in new window). Format Paperback 210 pages. Publication date 01 Dec 1986. Publisher SAS Institute. Publication City/Country United States.
SAS (previously "Statistical Analysis System") is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytic.
SAS (previously "Statistical Analysis System") is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated
Other helpful guidelines and discussions cover the following significant areas: multivariate linear models, lack-of-fit analysis, covariance and heterogeneity of slopes, a classification with both crossed and nested effects, and analysis of variance for balanced data. Supports releases . 9 and higher of SAS software.
Release Date:January 1986. Publisher:SAS Institute.
Select Format: Paperback. Release Date:January 1986. 11 lbs. Related Subjects. Computers Computers & Technology. This year's top sellers.
Download books for free. General topics include creating a data set with the SAS System; summarizing data with descriptive statistics, frequency tables, and bar charts; comparing groups (t-tests, one-way ANOVA, and nonparametric analogues); performing basic linear regression (lines, curves, and two-variable models); performing simple regression diagnostics (residuals plots, studentized residuals); and creating and analyzing tables of data
Flag as Inappropriate. SAS programs have two main components called the DATA step and the PROC step
Flag as Inappropriate. A social media analytics product was added in 2010. SAS programs have two main components called the DATA step and the PROC step. In most cases, a DATA step creates a SAS data set and passes the data for processing by the by PROC step
SAS system, contains many procedures that use state space models to analyze .
SAS system, contains many procedures that use state space models to analyze univariate. and multivariate time series data. in the SAS system, provides Kalman ﬁltering and smoothing routines for stationary and. nonstationary state space models. SAS/IML also provides support for linear algebra and. nonlinear function optimization, which makes it a convenient environment for general-. purpose state space modeling. The article is organized as follows.