The Rank Test of Various Treatment Effects

Article Preview

Abstract:

This article focuses on the non-parametric test of a variety treatment effects by using the rank test to construct statistics. Discussing when the priori knowledge sufficient condition, the rank test method is more effective than test method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1974-1977

Citation:

Online since:

January 2015

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Chen, XR. & ZB. Fang, GY. Li. Non-parametric Statistics[M]. Shanghai: Shanghai Scientific and Technical Publishers, (1989).

Google Scholar

[2] Wang, JL. & XJ. Liang. Analyze of Non-parametric Statistics[M]. Beijing: Higher Education.

Google Scholar

[3] M, Feith. Probability and Mathematical Statistics[M]. Shanghai: Shanghai Scientific and Technical Publishers, (1978).

Google Scholar

[4] Sun, SZ. Handouts of Non-parametric Statistics[M]. Beijing: Peking University Press (2000).

Google Scholar

[5] W.J. Conover, Practical nonparametric statistics [M], Beijing : People's Posts and Telecommunications Press , April (2006).

Google Scholar