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완전 임의 배치법 (CRD)×전요인 실험 설계×
분야실험설계실험설계
계열Hypothesis testHypothesis test
기원 연도19351926
창시자R. A. FisherR. A. Fisher
유형Parametric group comparison via one-way ANOVAParametric factorial experiment
원전Montgomery, D.C. (2017). Design and Analysis of Experiments. Wiley. ISBN: 978-1119320937Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley. ISBN: 978-0471718130
별칭CRD, completely randomised design, one-way experimental design, Tam Tesadüf Deneme Deseni (CRD)factorial experiment, 2^k factorial, full factorial, Faktöriyel Deneme Deseni (Full Factorial, 2^k)
관련35
요약The 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.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.
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ScholarGate방법 비교: Completely Randomized Design · Full Factorial Design. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare