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Korsningsdesign med fullständig faktoriell experimentell plan×Latin Square och Greco-Latin Square Design×
ÄmnesområdeFörsöksplaneringFörsöksplanering
FamiljProcess / pipelineHypothesis test
UrsprungsårMid-to-late 20th century (crossover trials formalised ~1960s–1980s; full factorial DoE from Fisher ~1935)1935
UpphovspersonDeveloped within the design-of-experiments tradition (R. A. Fisher and successors); crossover adaptation formalised by B. Jones and M. G. KenwardRonald A. Fisher
TypWithin-subject full factorial experimental designParametric blocked ANOVA
UrsprungskällaJones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883429Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443
Aliaswithin-subject full factorial design, repeated-measures full factorial experiment, crossover factorial trial, full factorial crossover designLatin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Deseni
Närliggande65
SammanfattningA crossover full factorial experiment combines the efficiency of a crossover (within-subject) design with the comprehensiveness of a full factorial design. Every participant receives all combinations of the factor levels across successive treatment periods, separated by washout intervals, allowing complete estimation of all main effects and interactions while using each participant as their own control.The Latin square design is a blocked experimental design that simultaneously controls two independent nuisance factors — the row block and the column block — so that each treatment appears exactly once in every row and every column of an n×n arrangement. Formalised by Ronald A. Fisher in his 1935 monograph The Design of Experiments, the design dramatically reduces experimental error by absorbing variation from two extraneous sources before the treatment effects are estimated.
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ScholarGateJämför metoder: Crossover Full Factorial Experiment · Latin Square Design. Hämtad 2026-06-19 från https://scholargate.app/sv/compare