방법 증거 기록

Full Factorial Experiment

A full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome.

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원본 기록

방법의 원본 기록에서 그대로 복사된 인용입니다. 이로부터 수준별 검증이 추론되지 않습니다.

Full Factorial Experimental Design

분류학적 방법 기록 · process-pipeline / experimental-design

Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. · ISBN 978-0471718130
Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119492443

전체 방법 열기

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관련 방법

방법 그래프에서 생성되었으며 기계가 제안한 관계로 표시됩니다 — 증거 주장이 추론되지 않습니다.

Taxonomic bucketBlocked Full Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFactorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFractional Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Used in the same domainLatin Square Designmachine-suggested · Relational suggestion, not evidence.Used in the same domainRandomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Used in the same domainResponse Surface Methodologymachine-suggested · Relational suggestion, not evidence.