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SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. [3] SAS provides a graphical point-and-click user interface for non-technical users and more through the SAS language.
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software ( also called SAS ), which helps access, manage, analyze and report on data to aid in decision-making.
The SAS language is a fourth-generation computer programming language used for statistical analysis, created by Anthony James Barr at North Carolina State University. [1] [2] Its primary applications include data mining and machine learning.
A SAS Domain is the SAS version of a SCSI domain—it consists of a set of SAS devices that communicate with one another by means of a service delivery subsystem. Each SAS port in a SAS domain has a SCSI port identifier that identifies the port uniquely within the SAS domain, the World Wide Name.
The World Programming System, also known as WPS Analytics or WPS, is a software product developed by a company called World Programming (acquired by Altair Engineering).. WPS Analytics supports users of mixed ability to access and process data and to perform data science tasks.
The generalized additive model for location, scale and shape (GAMLSS) is a semiparametric regression model in which a parametric statistical distribution is assumed for the response (target) variable but the parameters of this distribution can vary according to explanatory variables.
“That’s the problem in the game. Now you’re playing a video game. And this is what analysts want. Here’s your greatest strength, here’s their greatest weakness, press X. And X. And X. And X.
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.