… population distributions a nonparametric statistical test is clearly superior in power to a
parametric one, With such data, we must rely on the inference based on the nonparametric test, …

… Indeed, a better name for nonparametric inference might be … But it is difficult to give a precise
definition of nonparametric … nonparametric inference to refer to a set of modern statistical …

… This formulation of parametric statistics versus nonparametric statistics is merely an attempt
to give a rough idea concerning the subject of this book. A more precise distinction between …

Nonparametric statistical methods Nonparametric statistical methods …

… nonparametric methods of data analysis that researchers will find useful. It discusses a variety
of nonparametric … The author provides coverage of topics not often found in nonparametric …

… In summary, nonparametric statistics can legitimately be … Nonparametric methods are
frequently called distribution-free methods because the inferences are based on a test statistic …

… distribution-free or nonparametric. The amount of published material on nonparametric
statistics is increasing rapidly. A bibliography published five years ago listed 999 entries [37J …

… the current literature by addressing nonparametric statistics in a manner that … A nonparametric
procedure is then presented and … of corresponding nonparametric tests from diverse fields. …

This is the first of a series of five chapters on applications of large-sample techniques in
specific areas of statistics. Nonparametric statistics are becoming increasingly popular in …

… This book describes several popular nonparametric statistical procedures used in research
today. Table 1.1 identifies an overview of the types of tests presented in this book and their …