Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2025-01-06T05:34:13.984Z Has data issue: false hasContentIssue false

P. Sprent & N.C. Smeeton (2007). Applied Nonparametric Statistical Methods (4th ed.). Boca Raton: Chapman & Hall/CRC. 530+x pp. US$ 83.95. ISBN-10: 1-58488-701-X.

Review products

P. Sprent & N.C. Smeeton (2007). Applied Nonparametric Statistical Methods (4th ed.). Boca Raton: Chapman & Hall/CRC. 530+x pp. US$ 83.95. ISBN-10: 1-58488-701-X.

Published online by Cambridge University Press:  01 January 2025

Laura M. Schultz*
Affiliation:
Rowan University

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Book Review
Copyright
Copyright © 2010 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bowman, A.W., & Azzalini, A. (2010). R package ‘sm’: nonparametric smoothing methods (Version 2.2-4) [Software]. Available from http://www.R-project.org.Google Scholar
Canty, A., & Ripley, B. (2009). Boot: bootstrap R (S-plus) functions (Version 1.2-41) [Software]. Available from http://www.R-project.org.Google Scholar
Conover, W.J. (1999). Practical nonparametric statistics, (3rd ed.). New York: Wiley.Google Scholar
Corder, G.W., Foreman, D.I. (2009). Nonparametric statistics for non-statisticians: a step-by-step approach, New York: Wiley.CrossRefGoogle Scholar
Higgins, J.J. (2004). Introduction to modern nonparametric statistics, Belmont: Duxbury.Google Scholar
Hollander, M., Wolfe, D.A. (1999). Nonparametric statistical methods, (2nd ed.). New York: Wiley.Google Scholar
Hothorn, T., Hornik, K., van de Wiel, M.A., Zeileis, A. (2008). Implementing a class of permutation tests: the coin package. Journal of Statistical Software, 28(8), 123. Retrieved from http://www.jstatsoft.org/v28/i08/.CrossRefGoogle Scholar
Mehta, C., & Patel, N. (2007). StatXact: statistical software for exact nonparametric inference (Version 8) [Software]. Cambridge: Cytel.Google Scholar
R Development Core Team (2009). R: a language and environment for statistical computing (Version 2.10.1) [Software]. Available from http://www.R-project.org.Google Scholar
Wasserman, L. (2006). All of nonparametric statistics, New York: Springer.Google Scholar