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SAS Companion for Nonparametric Statistics
SAS Companion for Nonparametric Statistics Author:Scott J. Richter, James J. Higgins This companion is designed for anyone who desires a guide to using SAS to carry out nonparametric analyses. It can serve as a SAS lab manual for students enrolled in a course covering nonparametric methods where SAS is used for computing. It is also an excellent reference for researchers who currently use SAS and wish to learn about the capabili... more »ties of SAS for performing nonparametric analyses and the syntax for implementing the procedures. An important feature of this companion is that all of the SAS examples presented are self-contained and can be entered into SAS, as they appear, and executed. Thus, the user does not have to deal with issues of creating SAS data sets before using the programs. In addition to presenting the SAS code to obtain various nonparametric analyses, brief introductions to the methods themselves are also given. Particular attention is given to how SAS calculates the results it presents, and explanation provided wherever SAS presents results that might be different from what is typically presented in textbooks.« less