Editorial Type:
Article
Article Type:
Research Article

Confidence Regions and Pooling—Some Statistics for Weather Experimentation

K. Ruben Gabriel University of Rochester, Rochester, New York

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Print Publication:
01 May 2002
DOI:
https://doi.org/10.1175/1520-0450(2002)041<0505:CRAPSS>2.0.CO;2
Page(s):
505–518
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Abstract

The use of confidence intervals for assessing the results of weather modification experiments is demonstrated and is shown to be more informative than tests of significance. Multivariate tests, confidence regions, and simultaneous confidence intervals for multiple effects are discussed. Pooling of the results of several experiments is also described, both for single and for multiple effects. The methods are illustrated on ratio statistics applied to the first two Israeli experiments.

Corresponding author address: Dr. K. Ruben Gabriel, Professor Emeritus of Statistics, Dept. of Mathematics, University of Rochester, Rochester, NY 14627. rubengabriel@earthlink.net

Abstract

The use of confidence intervals for assessing the results of weather modification experiments is demonstrated and is shown to be more informative than tests of significance. Multivariate tests, confidence regions, and simultaneous confidence intervals for multiple effects are discussed. Pooling of the results of several experiments is also described, both for single and for multiple effects. The methods are illustrated on ratio statistics applied to the first two Israeli experiments.

Corresponding author address: Dr. K. Ruben Gabriel, Professor Emeritus of Statistics, Dept. of Mathematics, University of Rochester, Rochester, NY 14627. rubengabriel@earthlink.net

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Cover Journal of Applied Meteorology and Climatology
Journal of Applied Meteorology and Climatology

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