Nonparametric Statistical Methods

by Myles Hollander

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 Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its highly acclaimed predecessor, the revised edition, along with its companion ftp site, aims to equip students with the conceptual and technical skills necessary to select and apply the appropriate procedures for a given situation. An extensive array of examples drawn from actual experiments illustrates clearly how to use nonparametric approaches to handle one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. Rewritten and updated, this Second Edition now includes new or expanded coverage
* Nonparametric regression methods.
* The bootstrap.
* Contingency tables and the odds ratio.
* Life distributions and survival analysis.
* Nonparametric methods for experimental designs.
* More procedures, real-world data sets, and problems.
* Illustrated examples using Minitab and StatXact.

An ideal text for an upper-level undergraduate or first-year graduate course, this text is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.

Genres: Mathematics

Hardcover

First published March 1, 1973

About the author

Myles Hollander was an American academic statistician who made research contributions to nonparametric methods, biostatistics, and reliability. He was Emeritus and Robert O. Lawton Distinguished Professor of Statistics at Florida State University. He was a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the International Statistical Institute.

Reviews

[Jerzy · Rating 4 out of 5]

Each chapter section showcases a nonparametric technique, and then usually has commentary/notes longer than the chapter itself -- but I do like having all that extra info about these methods. As a master's-level student I felt it was informative and easy to follow.