Likelihood ratio tests for comparing k populations - the two-parameter nonregular models (Q1085539)

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scientific article; zbMATH DE number 3982262
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Likelihood ratio tests for comparing k populations - the two-parameter nonregular models
scientific article; zbMATH DE number 3982262

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    Likelihood ratio tests for comparing k populations - the two-parameter nonregular models (English)
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    1986
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    Let \(\Omega =\{(\theta_ 1,\theta_ 2):c<\theta_ 1<\theta_ 2<d\}\) where (c,d) is a given (finite or infinite) interval, and let \(f(x,\theta_ 1,\theta_ 2)\), \((\theta_ 1,\theta_ 2)\in \Omega\), be a two truncation parameter density defined by \(f(x,\theta_ 1,\theta_ 2)=h(x)/g(\theta_ 1,\theta_ 2)\), \(\theta_ 1\leq x\leq \theta_ 2\). The authors study the likelihood ratio statistics for testing the homogeneity of k parameterized populations having densities \(f(x,\theta^ i_ 1,\theta^ i_ 2)\), \(i=1,2,...,k\), and obtain the limiting null as well as non-null distributions of the test statistics.
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    two-parameter nonregular models
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    power functions
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    truncation parameters
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    null and non-null distributions
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    likelihood ratio statistics
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    testing the homogeneity
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