Methods of variance component estimation
| Autor: | O. Mašata, D. Rasch |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Estimation
education.field_of_study Rasch model Biometrics Existential quantification Population 0402 animal and dairy science 04 agricultural and veterinary sciences computer.software_genre 040201 dairy & animal science 01 natural sciences 010104 statistics & probability Variance components Animal Science and Zoology Data mining 0101 mathematics Set (psychology) education computer Mathematics |
| Zdroj: | Czech Journal of Animal Science. 51:227-235 |
| ISSN: | 1805-9309 1212-1819 |
| Popis: | 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. The symbols used are the standard biometric symbols as given in Rasch et al. (1994). We can say that all the methods offered by SPSS can be recommended. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|