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A FORTRAN program to perform the nonparametric Terpstra-Jonckheere test.

A K Thakur

    Computer Programs in Biomedicine
    |January 1, 1984
    PubMed
    Summary

    This FORTRAN program implements the Terpstra-Jonckheere test for ordered data. It offers greater statistical power than the Kruskal-Wallis H-test for ordered groups.

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    Area of Science:

    • Statistics
    • Computational Statistics
    • Nonparametric Statistics

    Background:

    • The Kruskal-Wallis H-test is a common nonparametric method for comparing multiple independent groups.
    • Existing methods may lack power when group order is known and relevant.
    • There is a need for efficient statistical tools for analyzing ordered data.

    Purpose of the Study:

    • To present a FORTRAN program for the Terpstra-Jonckheere test.
    • To provide a simple, accessible, and powerful statistical tool for ordered alternatives.
    • To enable the analysis of ordered group data on various computing platforms.

    Main Methods:

    • Implementation of the Terpstra-Jonckheere test in FORTRAN.
    • Development of a program that is short, simple, and easy to use.
    • Ensuring compatibility with diverse computing environments, including microcomputers.

    Main Results:

    • The developed FORTRAN program successfully performs the Terpstra-Jonckheere test.
    • The program is user-friendly and can be implemented on standard hardware.
    • Demonstrated increased statistical power compared to the Kruskal-Wallis H-test for ordered data.

    Conclusions:

    • The FORTRAN program offers an effective nonparametric solution for ordered alternatives.
    • This tool enhances statistical analysis power when group order is a factor.
    • The program's accessibility makes advanced statistical testing more widely available.

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