Registro de evidencia del método

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

Registro de origen

Citas copiadas textualmente del registro de origen del método. No se infiere ninguna verificación a nivel de afirmación de ellas.

Full Factorial Experimental Design (2^k)

Registro del método taxonómico · 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

Abrir método completo

Afirmaciones curadas

Afirmaciones persistidas en el libro mayor de evidencia, cada una con su propia evaluación.

Aún no hay afirmaciones curadas

Esta vista no inventa una evaluación de afirmación si el libro mayor no tiene ninguna.

Métodos relacionados

Generado a partir del grafo de métodos y mostrado como relaciones sugeridas por la máquina; no se infiere ninguna afirmación de evidencia.

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.