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Updated: Sep 19, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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修改部分最小平方结构方程模型与多变量自适应回归线:参数估计技术和应用

Hendra H Dukalang1,2, Bambang Widjanarko Otok1, Purhadi1

  • 1Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, 60111 Indonesia.

MethodsX
|June 18, 2025
PubMed
概括

本研究介绍了多变量自适应回归斜线部分最小方程 (MARSPLS),以解决部分最小方程结构方程建模 (PLS-SEM) 中的非线性问题. 对于复杂的隐性变量关系,MARSPLS提高了预测准确度.

关键词:
行为意图行为意图.火星是火星的星球马尔斯普尔斯 (马尔斯普尔斯) 是一个海洋生物.最大的概率估计估计.多变量自适应回归Spline部分最小平方普通最小平方的最小平方.这就是PLS-SEM.

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