Metodes pierādījumu reģistrs

Full Factorial Design

A full factorial design is a parametric experimental method in which every combination of factor levels is tested simultaneously, enabling the estimation of all main effects and all interaction effects in a single study. Rooted in R. A. Fisher's foundational work on designed experiments (1926) and systematically developed by Box, Hunter, and Hunter (2005) and Montgomery (2017), the 2^k form tests k two-level factors across 2^k experimental runs and is the benchmark against which all other factorial designs are measured.

Sources recorded, not reviewed

Avota reģistrs

Atsauces kopētas tieši no metodes avota reģistra. Tās nenozīmē nekādu apgalvojumu līmeņa verifikāciju.

Full Factorial Experimental Design (2^k)

Taksonomiskās metodes reģistrs · hypothesis-test / experimental-design

Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley. · ISBN 978-0471718130
Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119113478

Atvērt pilnu metodi

Kurēti apgalvojumi

Apgalvojumi saglabāti pierādījumu reģistrā, katram ar savu novērtējumu.

Vēl nav kurētu apgalvojumu

Šis skatījums neizgudro apgalvojumu novērtējumu, ja reģistrā tā nav.

Saistītās metodes

Ģenerēts no metodes grafika un parādīts kā mašīnas ieteiktas attiecības — netiek izvirzīts neviens pierādījumu apgalvojums.

Same method familyFractional Factorial Designmachine-suggested · Relational suggestion, not evidence.Same method familyOne-way ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyResponse Surface Methodologymachine-suggested · Relational suggestion, not evidence.Same method familyTaguchi Methodmachine-suggested · Relational suggestion, not evidence.Same method familyTwo-Way ANOVAmachine-suggested · Relational suggestion, not evidence.