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Slope ratio assays and confidence limits

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Summary

As an application of the general theory of tests of linear hypotheses, estimates for, and confidence limits for, the ratio (= ϱ) of regression coefficients in slope ratio assays are given. These confidence limits happen to be the two real roots or zeros of a polynomial, usually of high order in ϱ. Conditions on these roots are stated, and also certain approximations to them are given in the case of combining a number of independent slope ratio assays as a generalization of Fieller’s theorem.

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References

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Authors and Affiliations

  1. University of Washington Seattle 5, Seattle, Washington

    B. M. Bennett

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  1. B. M. Bennett
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Bennett, B.M. Slope ratio assays and confidence limits. Metrika 7, 117–120 (1963). https://doi.org/10.1007/BF02613967

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  • DOI: https://doi.org/10.1007/BF02613967

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