A new look at half-normal plots for assessing the significance of contrasts for unreplicated factorials

被引:1
|
作者
Olguin, J
Fearn, T
机构
[1] UCL, DEPT STAT SCI, LONDON WC1E 6BT, ENGLAND
[2] UNIV NACL AUTONOMA MEXICO, MEXICO CITY 04510, DF, MEXICO
关键词
Daniel plot; effect sparsity; fractional factorials; half-normal plot; quality improvement; unreplicated factorials;
D O I
10.1111/1467-9876.00083
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The visual inspection of a half-normal plot is a popular procedure for interpreting data from unreplicated factorial experiments. As this technique is somewhat subjective, the plot should preferably be supplemented with a more formal procedure. However, despite the improvements proposed by Zahn, the formal method using the half-normal plot suggested by Daniel seems to be rarely used. We investigate this procedure by using simulations and real data and suggest a modification to improve its acceptability. We also present corrected critical values for a procedure proposed by Lenth which was found to be miscalibrated.
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页码:449 / 462
页数:14
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