A Simulation Study of Pathmoz with non-normal Data

摘要：

One of the current research topics in PLS-PM is the issue of segmentation, i.e. examining whether the analyzed population is heterogeneous. Two types of heterogeneity can be distinguished: observed and unobserved. In observed heterogeneity subpopulations can be defined based on observed variables. In unobserved heterogeneity the variables that cause heterogeneity are unknown. When dealing with observed heterogeneity in PLS-PM, one can find the PATHMOX approach. PATHMOX produces a segmentation tree in which each node has an associated path model. As a split criterion it employs an F-based statistic for testing the equality of path coefficients between two compared models. This paper discusses a simulation study to evaluate the sensitivity of the test when it is applied for comparing two inner path models under different experimental conditions using non-normal data.

关键词： pls-pm pathmoz observed heterogeneity path coefficients comparison

作者: Gaston Sanchez Tomas Aluja

作者单位: Laboratory of Information Analysis and Modeling, Universitat Politecnica de Catalunya, Barcelona 08034, Spain

会议类型: 国际会议

会议名称: The 6th International Conference on Partial Least Squares and Related Methods(第六届偏最小二乘及相关方法国际会议)

会议地点: 北京

会议语种:英文

页码: 54-59

在线出版日期: 2009-09-04（万方平台首次上网日期，不代表论文的发表时间）