...
首页> 外文期刊>Journal of applied statistics >Independent exploratory factor analysis with application to atmospheric science data
【24h】

Independent exploratory factor analysis with application to atmospheric science data

机译:独立的探索性因素分析及其在大气科学数据中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

The independent exploratory factor analysis method is introduced for recovering independent latent sources from their observed mixtures. The new model is viewed as a method of factor rotation in exploratory factor analysis (EFA). First, estimates for all EFA model parameters are obtained simultaneously. Then, an orthogonal rotation matrix is sought that minimizes the dependence between the common factors. The rotation of the scores is compensated by a rotation of the initial loading matrix. The proposed approach is applied to study winter monthly sea-level pressure anomalies over the Northern Hemisphere. The North Atlantic Oscillation, the North Pacific Oscillation, and the Scandinavian pattern are identified among the rotated spatial patterns with a physically interpretable structure.
机译:引入了独立的探索性因子分析方法,用于从观察到的混合物中回收独立的潜在来源。新模型被视为探索性因子分析(EFA)中的因子旋转方法。首先,同时获得所有EFA模型参数的估计值。然后,寻求使公共因子之间的依赖性最小的正交旋转矩阵。刻痕的旋转通过初始加载矩阵的旋转来补偿。该方法被用于研究北半球冬季每月海平面压力异常。在具有物理可解释结构的旋转空间模式中,确定了北大西洋涛动,北太平洋涛动和斯堪的纳维亚模式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号