Currently displaying 1 – 2 of 2

Showing per page

Order by Relevance | Title | Year of publication

The use of outlier detection methods in the log-normal distribution for the identification of atypical varietal experiments

Andrzej Kornacki;  Andrzej Bochniak — 2015

Biometrical Letters

In this study the Akaike information criterion for detecting outliers in a log-normal distribution is used. Theoretical results were applied to the identification of atypical varietal trials. This is an alternative to the tolerance interval method. Detection of outliers with the help of the Akaike information criterion represents an alternative to the method of testing hypotheses. This approach does not depend on the level of significance adopted by the investigator. It also does not lead to the...

Sample size determination in the Mann–Whitney test

Andrzej Kornacki;  Andrzej Bochniak;  Agnieszka Kubik-Komar — 2017

Biometrical Letters

This paper discusses the problem of determining the number of observations necessary to apply the nonparametric Mann-Whitney test. We describe the method given by Noether (1987) for determining a sample size which guarantees that the Mann-Whitney test at a given significance level α has a predetermined power 1-β. The presented theory is tested by calculating the empirical power in computer simulations. The paper also raises the issue of the method of rounding the determined sample size to an even...

Page 1

Download Results (CSV)