Data Science and Statistical Research with SAS | ijirt.org

Data Science and Statistics are two components which go hand in hand. There is no point in having lot of data without having statistical analysis done on it. SAS is one such tool which is widely used for doing statistical analysis since it has many inbuilt procedures which help in calculating many parametric models and fit the curve. In this paper we discuss more about the SAS/STAT and SAS/QA products of the SAS software. We discuss procedures that can fit parametric models to failure time data that can be uncensored, right censored, left censored, or interval censored. The models for the response variable consist of a linear effect composed of the covariates and a random disturbance term. The distribution of the random disturbance can be taken from a class of distributions that includes the extreme value, normal, logistic, and, by using a log transformation, the exponential, Weibull, lognormal, loglogistic, and three-parameter gamma distribution.Full Article