SOME APPROACHES TO STATISTICAL-ANALYSIS OF A WEATHER-MODIFICATION EXPERIMENT

被引:4
作者
BRADLEY, RA
SRIVASTAVA, SS
LANZDORF, A
机构
[1] Florida State University, Tallahassee
来源
COMMUNICATIONS IN STATISTICS PART A-THEORY AND METHODS | 1979年 / 8卷 / 11期
关键词
analysis; applied regression; cloud seeding; covariance analysis; data; multivariate analysis; summarization of data; transformations; weather modification;
D O I
10.1080/03610927908827815
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Data from a weather modification experiment are examined and a number of statistical analyses reported. The validity of earlier inferences is studied as are the utilities of various statistical methods. The experiment is described. The original analysis of North American Weather Consultants, who conducted the experiment, is reviewed. Data summarization is reported. A major approach to analysis is through the use of cloud-physics covariates in regression analyses. Finally, a multivariate analysis is discussed. It appears that the covariates may have been affected by treatment (cloud seeding) and that their use is invalid, not only reducing error variances but removing treatment effect. Some recommendations for improved design of similar future experiments are given in a concluding section, including preliminary trial use of blocking by storms. © 1979, Taylor & Francis Group, LLC. All rights reserved.
引用
收藏
页码:1049 / 1081
页数:33
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