Format:
Online-Ressource (299 p.)
,
ill
,
24 cm
Series Statement:
A Wiley publication in mathematical statistics
Content:
"Nonparametric statistics is concerned with the treatment of standard statistical problems when the familiar assumption of normality is replaced by general assumptions concerning the distribution form. One of the oldest nonparametric methods is Karl Pearson's ?ø-test of fit proposed in 1900 (Reference [1], Chapter 3). Another is the classical sign test. Development of nonparametric methods was slow until the second war years, but since then their growth has touched almost every phase of statistical activity. This book is an attempt to collect and unify these diverse developments. Preliminary to this, the first two chapters provide a survey of the general techniques of estimation and hypothesis testing. The book is intended as a second course in mathematical statistics. Prerequisites are a knowledge of calculus and familiarity with an introduction to statistics such as is found in Hoel--Introduction to Mathematical Statistics. A knowledge of measure theory is not necessary, the essential ideas of measure being introduced with a statistical interpretation. The first two chapters are used at the University of Toronto for an undergraduate course surveying recent small sample methods, while the remainder of the book 'covers material for a graduate course on the applications of these methods in the nonparametric branch of statistics"--Preface. (PsycINFO Database Record (c) 2010 APA, all rights reserved)
Note:
Includes index. - Electronic reproduction; Washington, D.C; American Psychological Association; 2011; Available via World Wide Web; Access limited by licensing agreement; s2011 dcunns
Language:
English
