Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Lohkorakenteinen koeasetelma× | Yksisuuntainen varianssianalyysi× | |
|---|---|---|
| Tieteenala≠ | Koesuunnittelu | Tilastotiede |
| Menetelmäperhe | Hypothesis test | Hypothesis test |
| Syntyvuosi≠ | 1935 | 1925 |
| Kehittäjä≠ | Frank Yates | Ronald A. Fisher |
| Tyyppi≠ | Parametric mixed-model ANOVA | Parametric mean comparison |
| Alkuperäislähde≠ | Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247. DOI ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Rinnakkaisnimet≠ | split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot) | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Liittyvät≠ | 6 | 4 |
| Tiivistelmä≠ | The split-plot design is a parametric experimental design that applies one factor to large whole plots and a second factor to subdivisions (sub-plots) within each whole plot. It was introduced by Frank Yates in 1935 to handle agricultural experiments where one factor — such as irrigation or tillage method — is difficult or impractical to change frequently, while a second factor can be varied more easily within the same plot. | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. |
| ScholarGateAineisto ↗ |
|
|