離群值鑑定方法應用於作物區域試驗穩定性分析之例釋
Other Title
A Demonstration of Outlier Detection on Stability Analysis of Crop Regional Trial
Journal
中華農業研究
Journal Volume
49
Journal Issue
2
Pages
36-48
Date Issued
2000-06-04
Date
2000-06-04
Author(s)
呂秀英
Hsiu-Ying Lu
Abstract
本省作物區域試驗一般採用的穩定性介量多以最受廣泛使用的直線迴歸分析法為主。由於傳統迴歸分析是以最小平方法(LS)來估計迴歸係數,對離群值(或異常值)之存在非常敏感,離群值之存在會造成迴歸係數估計不良,也會造成直線迴歸分析殘差均方異質,從而可能影響穩定性分析之準確度。
Linear regression analysis is commonly used to assess the relative stability of varieties grown at different regions in Taiwan. However, the conventional least squares (LS) regression is susceptible to the occurrence of outliers (or unusual observations), which may have a deleterious effect on estimates of regression coefficients and on homogeneity of residual mean squares from the regression.
Subjects
區域試驗
穩定性
離群值診斷
穩建迴歸
再加權最小平方迴歸
Regional trial
Stability
Outlier Diagnostics
Robust regression
Reweighted least squares regression
Publisher
農業試驗所
Type
journal article
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