Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Σχεδιασμός Πειραμάτων Υπο-τεμαχίων (Split-Plot Experimental Design)× | Σχεδίαση Πλήρως Τυχαιοποιημένη (CRD)× | |
|---|---|---|
| Πεδίο | Πειραματικός Σχεδιασμός | Πειραματικός Σχεδιασμός |
| Οικογένεια | Hypothesis test | Hypothesis test |
| Έτος προέλευσης | 1935 | 1935 |
| Δημιουργός≠ | Frank Yates | R. A. Fisher |
| Τύπος≠ | Parametric mixed-model ANOVA | Parametric group comparison via one-way ANOVA |
| Θεμελιώδης πηγή≠ | Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247. DOI ↗ | Montgomery, D.C. (2017). Design and Analysis of Experiments. Wiley. ISBN: 978-1119320937 |
| Εναλλακτικές ονομασίες≠ | split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot) | CRD, completely randomised design, one-way experimental design, Tam Tesadüf Deneme Deseni (CRD) |
| Συναφείς≠ | 6 | 3 |
| Σύνοψη≠ | 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. | The completely randomized design is the most fundamental experimental design, in which experimental units are assigned to treatments entirely at random with no restrictions. Analysed by one-way ANOVA, it was formalised by R. A. Fisher in the 1930s and remains the reference starting point for experimental research whenever the experimental material is homogeneous and nuisance variation is absent or negligible. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|