Biometrics
journal article
A Non-Parametric Equivalent of Williams' Test for Contrasting Increasing Dose Levels of a Treatment
Eryl Shirley
Biometrics
Vol. 33, No. 2 (Jun., 1977), pp. 386-389 (4 pages)
Published By: International Biometric Society
Biometrics
https://doi.org/10.2307/2529789
https://www.jstor.org/stable/2529789
Read and download
Log in through your school or library
Read Online
Read 100 articles/month free
Subscribe to JPASS
Unlimited reading + 10 downloads
Purchase article
$14.00 - Download now and later
Read Online (Free) relies on page scans, which are not currently available to screen readers. To access this article, please contact JSTOR User Support. We'll provide a PDF copy for your screen reader.

With a personal account, you can read up to 100 articles each month for free.

Get Started

Already have an account? Log in

Log in through your institution

Monthly Plan
  • Access everything in the JPASS collection
  • Read the full-text of every article
  • Download up to 10 article PDFs to save and keep
$19.50/month
Yearly Plan
  • Access everything in the JPASS collection
  • Read the full-text of every article
  • Download up to 120 article PDFs to save and keep
$199/year

Log in through your institution

Purchase a PDF

Purchase this article for $14.00 USD.

How does it work?

  1. Select the purchase option.
  2. Check out using a credit card or bank account with PayPal.
  3. Read your article online and download the PDF from your email or your account.

Log in through your institution

Preview
Preview
Abstract

A Wilcoxon type non-parametric version of Williams' test for comparing increasing doses of a substance with a zero dose control is proposed. A brief description of Williams' test is given and the validity of extending this method to Kruskal rank sums in large sample data is proved. A numerical example is given.

Journal Information

Biometrics is a scientific journal emphasizing the role of statistics and mathematics in the biological sciences. Its object is to promote and extend the use of mathematical and statistical methods in pure and applied biological sciences by describing developments in these methods and their applications in a form readily assimilable by experimental scientists. JSTOR provides a digital archive of the print version of Biometrics. The electronic version of Biometrics is available at http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code;=biom. Authorized users may be able to access the full text articles at this site.

Publisher Information

The International Biometric Society is an international society for the advancement of biological science through the development of quantitative theories and the application, development and dissemination of effective mathematical and statistical techniques. The Society welcomes as members biologists, mathematicians, statisticians, and others interested in applying similar techniques.

Rights & Usage

This item is part of a JSTOR Collection.
For terms and use, please refer to our Terms and Conditions
Biometrics © 1977 International Biometric Society