This book explores both non parametric and general statistical
ideas by developing non parametric procedures in simple situations.
The major goal is to give the reader a thorough intuitive
understanding of the concepts underlying nonparametric procedures
and a full appreciation of the properties and operating
characteristics of those procedures covered. This book differs from
most statistics books by including considerable philosophical and
methodological discussion. Special attention is given to discussion
of the strengths and weaknesses of various statistical methods and
approaches. Difficulties that often arise in applying statistical
theory to real data also receive substantial attention. The
approach throughout is more conceptual than mathematical. The
"Theorem-Proof" format is avoided; generally, properties are
"shown," rather than "proved." In most cases the ideas behind the
proof of an im- portant result are discussed intuitively in the
text and formal details are left as an exercise for the reader. We
feel that the reader will learn more from working such things out
than from checking step-by-step a complete presen- tation of all
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