The importance of nonparametric methods in modern statistics has grown dramatically since their inception in the mid-1930s. Requiring few or no assumptions about the populations from which data are obtained, they have emerged as the preferred methodology among statisticians and researchers performing data analysis. Today, these highly efficient techniques are being applied to an ever-widening variety of experimental designs in the social, behavioral, biological, and physical sciences.
This long-awaited Second Edition of Myles Hollander and Douglas A. Wolfe's successful...
The importance of nonparametric methods in modern statistics has grown dramatically since their inception in the mid-1930s. Requiring few or no assump...
Nonparametric methods, for instance, are often based on counts and ranks and are very easy to integrate into an introductory course.� The ease of computation with advanced calculators and statistical software, both of which factor into this text, allows important techniques to be introduced earlier in the study of statistics.
Nonparametric methods, for instance, are often based on counts and ranks and are very easy to integrate into an introductory course.� The...
