The variance sum law and its implications for modelling

IF 1.3
Pier-Olivier Caron, Laura Lemardelet
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引用次数: 2

Abstract

Basic understanding of linear model is primordial in quantitative psychology and modelling. As an advanced topic for students in psychology, modelling data according to given sets of parameters can be challenging. In this paper, we address the variance sum law which states how to combine variance of variables into a new one. The paper uses a progressive pedagogical approach, presenting step by step the statistical prerequisites. An example with code in R is offered to support the presentation. Some matrix algebra is gently introduced to stimulate readers to more advanced topics.
方差和定律及其对建模的影响
对线性模型的基本理解是定量心理学和建模的基础。作为心理学学生的高级课题,根据给定的参数集对数据进行建模可能具有挑战性。本文讨论了方差和律,它描述了如何将变量的方差组合成一个新的方差。本文采用渐进式教学方法,逐步介绍统计学的先决条件。本文提供了一个用R语言编写的示例来支持演示。一些矩阵代数是温和地介绍,以刺激读者更高级的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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