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Related Experiment Videos

Finding condensed descriptions for multi-dimensional data

N Wermuth, T Wehner, H Gönner

    Computer Programs in Biomedicine
    |April 1, 1976
    PubMed
    Summary
    This summary is machine-generated.

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    Two programs offer condensed descriptions for multinomial or multivariate normal data. They use stepwise model search and likelihood-ratio tests for efficient data summarization.

    Area of Science:

    • Statistics
    • Computational Statistics

    Background:

    • Analyzing complex datasets often requires concise representations.
    • Multinomial and multivariate normal distributions are common in statistical modeling.

    Purpose of the Study:

    • To introduce two computational programs for data summarization.
    • To facilitate the analysis of data from contingency tables and covariance matrices.

    Main Methods:

    • The programs employ a stepwise model search strategy.
    • Likelihood-ratio test statistics are computed to guide the model selection process.

    Main Results:

    • The programs identify condensed descriptions for multinomial and multivariate normal data.
    • Efficient model selection is achieved through automated stepwise procedures.

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    Conclusions:

    • These programs provide valuable tools for simplifying complex statistical data.
    • The methods support the interpretation of data following multinomial and multivariate normal distributions.