This book teaches students how to apply nonparametric techniques to statistical data from hypotheses to regression modeling, time-to-event analysis, density estimation, and resampling methods. SAS codes for all examples are given in the text. Data sets for the exercises are available.
This text presents an overview of the full range of logistic models, including binary, proportional, ordered, and categorical response regression proc..
This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness..
An Introduction to the Bootstrap arms scientists, engineers, and statisticians with the computational techniques they need to analyze and understand c..
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pen..
Theoretical Statistics provides a systematic statement of the theory of statistics that emphasizes general concepts rather than mathematical rigor. Ch..
This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis i..
Density Estimation for Statistics and Data Analysis presents a practical, accessible account of density estimation with the goal of facilitating broad..
Nonparametric Regression and Generalized Linear Models focuses on the roughness penalty method of nonparametric smoothing and shows how this technique..