Rank Tests in Weather Modification Experiments.

Abstract

Rank tests are frequently used in the comparison of seeded and unseeded responses or of control and target responses in weather modification experiments. One of the more frequently used tests is the sum of squared ranks test, which under certain questionable assumptions, has been shown to have a higher asymptotic efficiency relative to the more conventional Wilcoxon test, that is the sum of (first power) ranks test. This paper investigates the pertinence to reality of the underlying assumption in the analysis of weather modification experiments by rank methods. It is shown that the squared rank test is not uniformly more efficient than the Wilcoxon test.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1977
Accession Number
ADA042051

Entities

People

  • Morgan A. Hanson

Organizations

  • Florida State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Data Science
  • Distribution Functions
  • Efficiency
  • Information Science
  • Military Research
  • Normality
  • Observation
  • Precipitation
  • Rain Gages
  • Rainfall
  • Statistical Samples
  • Statistics
  • United States
  • Weather Modification

Fields of Study

  • Mathematics

Readers

  • Plasma Physics.
  • Statistical inference.
  • Systems Analysis and Design