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Regression: Comparing Predictors and Groups of Predictors Based on a Robust Measure of Association
並列摘要
Let ρj be Pearson's correlation between Y and Xj (j = 1, 2). A problem that has received considerable attention is testing H0: ρ1 = ρ2. A well-known concern, however, is that Pearson's correlation is not robust (e.g., Wilcox, 2005), and the usual estimate of ρj, rj has a finite sample breakdown point of only 1/n. The goal in this paper is to consider extensions to situations where Pearson's correlation is replaced by a particular robust measure of association. Included are results where there are p ＞ 2 predictors and the goal to compare any two subsets of m ＜ p predictors.
被引用紀錄
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延伸閱讀
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- Shrestha, N. (2018). A goodness-of-fit test procedure for the latent class regression model [doctoral dissertation, National Chiao Tung University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0030-0205201911041072
- 吳佩茹、卓國雄（2017）。The Relationships among Perceptions Role Ambiguity, Group Size and Group Cohesion。文化體育學刊，()，63-73。https://doi.org/10.6634/JPSS-CCU.201612.24.06
- 張寶慧、許碧敏（2019）。Using Systematic Decision-making Methods and R-Regression Analysis to Establish Bidding Decision System。危機管理學刊，16(1)，1-6。https://doi.org/10.6459/JCM.201903_16(1).0001
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