Geodesic
Eliminating transformations for nuisance parameters in linear regression models with type I constraints
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, Tome 46 (2007) no. 1, pp. 51-64

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The linear regression model in which the vector of the first order parameter is divided into two parts: to the vector of the useful parameters and to the vector of the nuisance parameters is considered. The type I constraints are given on the useful parameters. We examine eliminating transformations which eliminate the nuisance parameters without loss of information on the useful parameters.
Classification : 62F30, 62H12, 62J05
Keywords: regular linear regression model; nuisance parameters; BLUE; constraints 
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     title = {Eliminating transformations for nuisance parameters in linear regression models with type {I} constraints},
     journal = {Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica},
     pages = {51--64},
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     number = {1},
     year = {2007},
     mrnumber = {2387493},
     zbl = {1139.62035},
     language = {en},
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Kunderová, Pavla. Eliminating transformations for nuisance parameters in linear regression models with type I constraints. Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, Tome 46 (2007) no. 1, pp. 51-64. http://geodesic.mathdoc.fr/item/AUPO_2007__46_1_a5/