multifaktoranalys
Multifaktoranalys is a statistical approach for studying the effect of two or more independent factors on one or more dependent variables. It encompasses experimental designs and statistical models that decompose variation into components attributable to the main effects of each factor and their interactions.
In experimental settings, designs such as full factorial (all combinations of factor levels) or fractional factorials
Key outputs include estimated factor effects, interaction effects, and associated test statistics (F-statistics, t-values) along with
Applications span fields such as engineering, psychology, medicine, agriculture, and market research, wherever multiple factors are
Historically, multifaktoranalys builds on factorial experimental methods developed by Ronald Fisher, extending to modern regression and