.png){kind=icon}
返回
Evaluating chi-squared automatic interaction detection
.png){kind=icon}
PRE
AI
DOI：10.1016/j.is.2005.03.002.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We propose a method to compute confidence bounds around the predictions from chi-squared automatic interaction detection (CHAID). These bounds are useful for ex ante target selection as some clusters may or may not overlap. They are also useful for ex post evaluation of the predictive quality of CHAID. The method is illustrated using simulated data. (c) 2005 Elsevier B.V. All rights reserved.
Keyword:
CHAID
target selection
confidence intervals
bootstrap
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
2.8K
被引数:
1.8K
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏分享收藏Analysis of Market Power of Flexible Demand Resources Providers in Pool-type Electricity Market
PREAI
分享收藏
查看更多内容