Comparison of two common estimators of the ratio of the means of independent normal variables in agricultural research

C. G. Qiao, G. R. Wood, C. D. Lai, D. W. Luo

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    8 Citations (Scopus)
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    Abstract

    This paper addresses the problem of estimating the ratio of the means of independent normal variables in agricultural research. The first part of the research examines the distributional properties of the ratio of independent normal variables, both theoretically and using simulation. The second part of the research evaluates the relative merits of two common estimators of the ratio of the means of independent normal variables in agricultural research, an arithmetic average and a weighted average, via simulation experiments using normal distributions. The results are then tested using research data from rice breeding multi-environment trials in Jilin Province, China, in 1994. These data are used to demonstrate the diagnostic approach developed for assessing the "safe" use of the arithmetic and the weighted average methods for estimating the ratio of the means of independent normal variables.

    Original languageEnglish
    Article number78375
    Pages (from-to)1-14
    Number of pages14
    JournalJournal of Applied Mathematics and Decision Sciences
    Volume2006
    DOIs
    Publication statusPublished - 2006

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