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The advantage of decomposing elaborate hypotheses on covariance matrices into conditionally independent hypotheses in building near-exact distributions for the test statistics - MaRDI portal

The advantage of decomposing elaborate hypotheses on covariance matrices into conditionally independent hypotheses in building near-exact distributions for the test statistics (Q1017618)

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scientific article; zbMATH DE number 5552960
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English
The advantage of decomposing elaborate hypotheses on covariance matrices into conditionally independent hypotheses in building near-exact distributions for the test statistics
scientific article; zbMATH DE number 5552960

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    The advantage of decomposing elaborate hypotheses on covariance matrices into conditionally independent hypotheses in building near-exact distributions for the test statistics (English)
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    12 May 2009
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    near-exact distributions
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    conditionally independent hypotheses
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    likelihood ratio test statistics
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    generalized sphericity tests
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    generalized near-integer gamma distribution
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    mixtures
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