By Olga Korosteleva
Designed for a graduate direction in utilized records, Nonparametric equipment in information with SAS Applications teaches scholars how you can follow nonparametric ideas to stats. It begins with the exams of hypotheses and strikes directly to regression modeling, time-to-event research, density estimation, and resampling methods.
The textual content starts off with classical nonparametric hypotheses checking out, together with the signal, Wilcoxon sign-rank and rank-sum, Ansari-Bradley, Kolmogorov-Smirnov, Friedman rank, Kruskal-Wallis H, Spearman rank correlation coefficient, and Fisher specific checks. It then discusses smoothing ideas (loess and thin-plate splines) for classical nonparametric regression in addition to binary logistic and Poisson versions. the writer additionally describes time-to-event nonparametric estimation equipment, reminiscent of the Kaplan-Meier survival curve and Cox proportional dangers version, and offers histogram and kernel density estimation equipment. The booklet concludes with the fundamentals of jackknife and bootstrap period estimation.
Drawing on facts units from the author’s many consulting initiatives, this classroom-tested ebook contains quite a few examples from psychology, schooling, scientific trials, and different parts. It additionally provides a suite of workouts on the finish of every bankruptcy. All examples and workouts require using SAS 9.3 software program. entire SAS codes for all examples are given within the textual content. huge information units for the workouts can be found at the author’s website.
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Additional info for Nonparametric Methods in Statistics with SAS Applications (Chapman & Hall/CRC Texts in Statistical Science)
Nonparametric Methods in Statistics with SAS Applications (Chapman & Hall/CRC Texts in Statistical Science) by Olga Korosteleva