Methods of Analysing Binomial Data in a Two‐Factor Experiment Without Replication Compared by Computer Simulation | Zendy

Kemp K. E. | Zendy; Butcher D. F. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Methods of Analysing Binomial Data in a Two‐Factor Experiment Without Replication Compared by Computer Simulation

Author(s) -

Kemp K. E.,

Butcher D. F.

Publication year - 1972

Publication title -

journal of the royal statistical society: series c (applied statistics)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.205

H-Index - 72

eISSN - 1467-9876

pISSN - 0035-9254

DOI - 10.2307/2346276

Subject(s) - replication (statistics) , statistics , binomial (polynomial) , computer science , factor (programming language) , mathematics , programming language

Summary Four common methods of analysing percentage (attribute) data were compared for the case of a 3 × 3 analysis without replication. Data with no interaction, linear‐ × ‐linear, linear‐ × ‐quadratic and quadratic‐ × ‐quadratic interactions were sequentially generated and the effects of interaction, and form of interaction, on the power of the F ‐test, χ 2 and Friedman's non‐parametric procedure were determined. Three‐way χ 2 and Tukey's test for non‐additivity were compared for their power for finding interactions of various forms. In all cases the χ 2 test proved superior.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research