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How the design of an experiment influences the nonsensitiveness regions in models with variance components
Applications of Mathematics, Tome 43 (1998) no. 6, pp. 439-460
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Nonsensitiveness regions for estimators of linear functions, for confidence ellipsoids, for the level of a test of a linear hypothesis on parameters and for the value of the power function are investigated in a linear model with variance components. The influence of the design of an experiment on the nonsensitiveness regions mentioned is numerically demonstrated and discussed on an example.
Nonsensitiveness regions for estimators of linear functions, for confidence ellipsoids, for the level of a test of a linear hypothesis on parameters and for the value of the power function are investigated in a linear model with variance components. The influence of the design of an experiment on the nonsensitiveness regions mentioned is numerically demonstrated and discussed on an example.
DOI : 10.1023/A:1023269321385
Classification : 62J05, 62J10, 62K99
Keywords: mixed linear model; model with variance components; nonsensitiveness region 
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     title = {How the design of an experiment influences the nonsensitiveness regions in models with variance components},
     journal = {Applications of Mathematics},
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Kubáček, Lubomír; Kubáčková, Ludmila; Tesaříková, Eva; Marek, Jaroslav. How the design of an experiment influences the nonsensitiveness regions in models with variance components. Applications of Mathematics, Tome 43 (1998) no. 6, pp. 439-460. doi: 10.1023/A:1023269321385

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