Nonparametric integral statistics \(\omega_n^k=n^{k/2}\int_{-\infty}^\infty [S_n(x)-F(x)]^k dF(x)\): Main properties and applications (Q1382316)
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scientific article; zbMATH DE number 1133224
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Nonparametric integral statistics \(\omega_n^k=n^{k/2}\int_{-\infty}^\infty [S_n(x)-F(x)]^k dF(x)\): Main properties and applications |
scientific article; zbMATH DE number 1133224 |
Statements
Nonparametric integral statistics \(\omega_n^k=n^{k/2}\int_{-\infty}^\infty [S_n(x)-F(x)]^k dF(x)\): Main properties and applications (English)
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25 March 1998
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In solving problems of experimental data processing in intermediate and high energy physics use is often made of nonparametric goodness-of-fit criteria based on the well-known \(\omega^2_n\) and \(\omega^3_n\) statistics. The present paper is devoted to a generalization of the properties of integral statistics \(\omega^k_n\), to an investigation of their distribution functions, to the construction of goodness-of-fit criteria, and to their comparison with known criteria of the type considered. A method for multidimensional data analysis based on \(\omega^k_n\)-criteria is described.
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pattern recognition
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goodness-of-fit criteria
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integral statistics
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multidimensional data analysis
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0.8561536
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0.8541112
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0.8448285
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0.8383218
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0.83764297
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