Discusses the methodologies used for the analysis of clustered and correlated data. This work includes a chapter devoted to the modeling and analyzing of normally distributed variables under clustered sampling designs. It offers an analysis of correlated count data that focuses …
A picture is worth a thousand words, but what if there are a billion words? When analyzing big data, you need a picture that cuts through the noise. This is where infographics come in. Infographics are a representation of information in a graphic format designed to make the data…
Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it…
Example-rich and experiment-driven, Genetic Analysis of Complex Traits Using SAS demonstrates how you can use SAS and SAS/Genetics to extract answers from your quantitative and molecular genetics data. The book guides you through the mix of genetic, statistical, and SAS skills t…
Time series data -- Datetime variables in SAS -- Aggregation using PROC TIMESERIES -- Interpolation using PROC EXPAND -- Exponential smoothing of nonseasonal series -- Forecasting by exponential smoothing of seasonal series -- Exponential smoothing versus parameterized models --…
Discovering statistics using SAS
"Hot on the heels of the 3rd edition of Andy Field's award-winning Discovering Statistics Using SPSS comes this brand new version for students using SAS. Andy has teamed up with a co-author, Jeremy Miles, to adapt the book with all the most up-to-date commands and programming la…