Nonparametric Statistical Methods

by Myles Hollander, Douglas A. Wolfe

This 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 predecessor, the revised edition, along with its companion ftp site, aims to equip readers 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. An ideal text for an upper-level undergraduate or first-year graduate course, Nonparametric Statistical Methods, Second Edition is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.

Genres: Mathematics

528 pages, 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.