"1212-1819" . "Z(MZE0002701402)" . . . . . . "51" . . "9"^^ . "Methods of variance component estimation"@en . "RIV/00027014:_____/06:#0000597" . "one-way ANOVA; ANOVA-method; MINQUE; MIVQUE; Bayesian approach"@en . "485131" . "Methods of variance component estimation"@en . "CZ - \u010Cesk\u00E1 republika" . "Metody odhadu komponent\u016F variability"@cs . . . "Ma\u0161ata, Ond\u0159ej" . . . "Estimation of variance components is a method often used in population genetics and applied in animal breeding. Even experienced population geneticists nowadays feel lost if confronted with the huge set of different methods of variance component estimation. Especially because there exists no uniformly best method, a decision which method should be used is often difficult to take. This paper gives a complete overview of methods existing in the simplest case of a one-way lay-out and demonstrates some of them by a numerical example for which the true situation is known. Of course, the one-way lay-out is of limited practical interest but can best be used to explain animal scientists the basic principles of the methods. These basic principles are principally also valid for higher classifications. Advantages and disadvantages of the methods are discussed. We can say that all the methods offered by SPSS can be recommended." . "Metody odhadu komponent\u016F variability"@cs . . "2"^^ . "6" . . . . "Odhad komponent\u016F variability je metoda \u010Dasto pou\u017E\u00EDvan\u00E1 v popula\u010Dn\u00ED genetice a aplikovan\u00E1 ve \u0161lecht\u011Bn\u00ED zv\u00ED\u0159at. Dokonce zku\u0161en\u00FD popula\u010Dn\u00ED genetik se v nyn\u011Bj\u0161\u00ED dob\u011B c\u00EDt\u00ED ztracen, kdy\u017E je konfrontov\u00E1n s ohromn\u00FDm mno\u017Estv\u00EDm r\u016Fzn\u00FDch metod odhadu komponent\u016F variability. Rozhodnut\u00ED, kter\u00E1 metoda by m\u011Bla b\u00FDt pou\u017Eita, zvl\u00E1\u0161t\u011B proto\u017Ee neexistuje jednotn\u011B pou\u017E\u00EDvan\u00E1 nejlep\u0161\u00ED metoda, je \u010Dasto obt\u00ED\u017En\u00E9 u\u010Dinit. Tento \u010Dl\u00E1nek pod\u00E1v\u00E1 celkov\u00FD p\u0159ehled existuj\u00EDc\u00EDch metod pro nejjednodu\u0161\u0161\u00ED p\u0159\u00EDpad n\u00E1vrhu experimentu a vysv\u011Btluje n\u011Bkter\u00E9 metody pomoc\u00ED numerick\u00E9ho p\u0159\u00EDkladu, vych\u00E1zej\u00EDc\u00EDho z p\u0159edem zn\u00E1m\u00FDch simulovan\u00FDch dat. Toto jednoduch\u00E9 zalo\u017Een\u00ED experimentu je samoz\u0159ejm\u011B z praktick\u00E9ho pohledu m\u00E9n\u011B zaj\u00EDmav\u00E9, ale m\u016F\u017Ee b\u00FDt nejl\u00E9pe pou\u017Eito pro objasn\u011Bn\u00ED z\u00E1kladn\u00EDch princip\u016F metod. Tyto principy jsou tak\u00E9 platn\u00E9 pro vy\u0161\u0161\u00ED t\u0159\u00EDd\u011Bn\u00ED. Diskutov\u00E1ny jsou v\u00FDhody a nev\u00FDhody jednotliv\u00FDch metod. Lze \u0159\u00EDci, \u017Ee v\u0161echny metody pou\u017E\u00EDvan\u00E9 softwarem SPSS mohou b\u00FDt doporu\u010Deny."@cs . "2"^^ . "Methods of variance component estimation" . "Estimation of variance components is a method often used in population genetics and applied in animal breeding. Even experienced population geneticists nowadays feel lost if confronted with the huge set of different methods of variance component estimation. Especially because there exists no uniformly best method, a decision which method should be used is often difficult to take. This paper gives a complete overview of methods existing in the simplest case of a one-way lay-out and demonstrates some of them by a numerical example for which the true situation is known. Of course, the one-way lay-out is of limited practical interest but can best be used to explain animal scientists the basic principles of the methods. These basic principles are principally also valid for higher classifications. Advantages and disadvantages of the methods are discussed. We can say that all the methods offered by SPSS can be recommended."@en . "[33743F6DC569]" . "RIV/00027014:_____/06:#0000597!RIV08-MZE-00027014" . . "Methods of variance component estimation" . . . "227-235" . "Czech Journal of Animal Science" .