作者: R. S. Rodger
DOI: 10.1111/J.2044-8317.1975.TB00549.X
关键词: Statistics 、 Word error rate 、 Function (mathematics) 、 Zero (linguistics) 、 Set (abstract data type) 、 Limit (mathematics) 、 Analysis of variance 、 Constant (mathematics) 、 Mathematics 、 Scheffé's method
摘要: When Fm in anova is significant, Scheffe's procedure provides no limit to the number of contrasts which can be declared significant. The new described here a (r) significant asserted. If assertions are made for v1 contrasts, include r declarations significance, expectation r/v1 will linearly decreasing function if traditional critical F values used. A table provided set this at constant (0.05 or 0.01). recommended use whenever sought, post hoc, significance.