Time-Series Analysis: A Comprehensive Introduction for Social Scientists
Time-Series Analysis: A Comprehensive Introduction for Social Scientists
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时间序列分析：社会科学家综合介绍
DOI：
10.2307/2982108
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发表时间：
1982
期刊：
影响因子：
--
通讯作者：
J. Gottman
中科院分区：
文献类型：
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作者：
J. Gottman
自 20 世纪 70 年代以来，社会科学家和各个领域（心理学、社会学、教育学、精神病学、经济学和工程学）的科学家一直对需要对数据进行统计分析的问题感兴趣，并且实际上在思考模式和规律性的方式方面发生了概念革命。本书全面介绍了所有主要时间序列技术，包括时域和频域。它包括简化单变量和多变量问题解决方案的线性模型的工作。作者从非数学概述开始：自始至终，他提供了来自心理学和社会学真实研究的易于理解、充分发挥作用的示例。其他不太全面的时间序列分析书籍需要微积分：这仅以涵盖方差和回归分析的标准统计学入门课程为前提。这些章节很短，旨在一步一步地构建概念（和读者的信心）。许多插图有助于视觉、直观的理解。在不影响数学严谨性的情况下，作者牢记那些对数学不感兴趣的读者：结果是一本易于理解且实用的文本。
Since the 1970s social scientists and scientists in a variety of fields - psychology, sociology, education, psychiatry, economics and engineering - have been interested in problems that require the statistical analysis of data over time and there has been in effect a conceptual revolution in ways of thinking about pattern and regularity. This book is a comprehensive introduction to all the major time-series techniques, both time-domain and frequency-domain. It includes work on linear models that simplify the solution of univariate and multivariate problems. The author begins with a non-mathematical overview: throughout, he provides easy-to-understand, fully worked examples drawn from real studies in psychology and sociology. Other, less comprehensive, books on time-series analysis require calculus: this presupposes only a standard introductory statistics course covering analysis of variance and regression. The chapters are short, designed to build concepts (and the reader's confidence) one step at a time. Many illustrations aid visual, intuitive understanding. Without compromising mathematical rigour, the author keeps in mind the reader who does no have an easy time with mathematics: the result is a readily accessible and practical text.