What question did this study set out to answer?

To formulate and evaluate significance tests for determining the statistical validity of rank correlation coefficients.

December 1, 1957Biometrika

Tests for Rank Correlation Coefficients. I

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To formulate and evaluate significance tests for determining the statistical validity of rank correlation coefficients.
Theoretical formulation of probability distributions associated with rank correlation metrics.
Derivation of test statistics to measure the significance of monotonic associations between ranked variables.
Exact distribution behaviors were established for evaluating whether two sets of rankings exhibit statistically significant agreement.
Formulas provide standard critical values and significance levels for testing null hypotheses of independence in ranked data.

Implication

Methodological evaluation evaluates distribution properties of rank correlation coefficients, indicating exact significance testing criteria for ranked datasets.

Abstract

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Cite This Study

Fieller et al. (1957) studied this question.

synapsesocial.com/papers/6a092fcceb81c1d96fb61884 https://doi.org/10.1093/biomet/44.3-4.470

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Implication

Methodological evaluation evaluates distribution properties of rank correlation coefficients, indicating exact significance testing criteria for ranked datasets.

Abstract

Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at

Tests for Rank Correlation Coefficients. I

Key Points

Implication

Abstract

Discussion

Cite This Study

Tests for Rank Correlation Coefficients. I

Key Points

Implication

Abstract

Discussion

Cite This Study

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