Applied Factor Analysis in the Natural Sciences.
Applied Factor Analysis in the Natural Sciences.
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DOI：
10.2307/2533986
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发表时间：
1994-12
期刊：
影响因子：
1.9
通讯作者：
Allen W. Archer;R. A. Reyment;K. Jöreskog
中科院分区：
文献类型：
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作者：
Allen W. Archer;R. A. Reyment;K. Jöreskog
本书旨在向自然科学专业的学生介绍强大的因子分析技术，并为他们提供能够独立进行分析所需的背景知识。本书是作者成功的地质因素分析教科书的彻底更新和扩展版本，借鉴了植物学、动物学、生态学、海洋学以及地质学的例子。应用多元统计已发展成为自然科学中几乎具有无限潜力的研究领域。本书介绍的经典主成分分析、主成分因子分析、主坐标分析、对应分析等方法可以将大量数据简化为可管理和可解释的形式。还介绍了 Q 模式和 Q-R 模式方法。特别关注稳健估计方法以及非典型和有影响力的观察结果的识别。在整本书中，重点是应用而不是理论。
This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on application rather than theory.