This paper presents an attempt to explicate some common features of several superficially diverse techniques of data analysis and to indicate how the logic of a single abstract model is relevant to ...

This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...

本研究针对高维多元广义线性模型(Multivariate General Linear Model, MGLM)中的参数矩阵检验难题，来自国内的研究团队开发了创新的统计检验方法。通过构建新型检验统计量，解决了传统方法在大维度数据场景下的失效问题，为基因组学等高通量数据分析提供了可靠工具。

Researchers and students of applied statistics and the social and behavioral sciences will find this book indispensable for understanding both general linear model theory and application. The model is ...

This article is a generalization of the procedures developed by Steinhorst and Bowden (1971) for constructing confidence bands for the 100βth percentiles in the general linear model. Since the ...