Improving resistivity of urea formaldehyde resin through joint modeling of mean and dispersion

被引：3
作者：
Department of Statistics, Burdwan University, Burdwan, India [1 ]
不详 [2 ]
机构：
[1] Department of Statistics, Burdwan University, Burdwan
[2] Department of Statistics, Seoul National University, Seoul
来源：
Qual Eng | 2008年 / 3卷 / 287-295期
关键词：
Dispersion model; Mean model; Non-constant variance;
D O I：
10.1080/08982110701866180
中图分类号：
学科分类号：
摘要：
Gupta and Das (2000) studied the resin data for improving the resistivity of urea formaldehyde through the setting of process parameters. They noticed that variances of the responses are non-constant, affected by some factors. In quality-improvement engineering applications, achieving high precision by minimizing variance is as important as getting the mean at the target. To identify factors affecting variance they used the analysis of variance method for signal-to-noise ratio. However, their method could be statistically inefficient to miss important factors as insignificant. We propose to use joint modeling for the mean and dispersion, which gives completely different analysis for the resin data.
引用
收藏
页码：287 / 295
页数：8
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