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现代社会统计方法的应用与评述 被引量:5

Applications and Comments on Contemporary Statistical Methods
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摘要 从不同的数据类型和数据结构出发,介绍几种在现代社会科学领域使用最为广泛的一些统计方法,其中包括线性回归分析方法,分类数据分析方法,生存分析方法,结构方程模型,层次分析和纵向数据分析方法等。其重点不在方法本身,而在于使人们对现代西方社会统计学的应用有一个结构上的了解。 his paper introduces some most widely used statistical methods in social science in regards to data pattern and structures, including linear regression, categorical data analysis, survival analysis, structural equation models, and multilevel and longitudinal data analysis. Its focus is not on the method itself, but on the structural understanding in application of social statistics in western countries.
作者 乔晓春
出处 《市场与人口分析》 CSSCI 2005年第6期51-61,共11页 Market & Demographic Analysis
关键词 社会统计 数据类型 回归模型 social statistics type of data regression model
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参考文献17

  • 1Agresti, Alan. 2002. Categorical Data Analysis (Second Edition). John Wiley & Sons, Inc.
  • 2Allison, Paul D. 2001. Survival Analysis Using the SAS System, A Practical Guide. SAS Institute Inc.
  • 3Andersen, P. K. and R. D. Gill. 1982. Cox's Regression Model for Counting Processes: A Large Sample Study. Annals of Statistics 10.
  • 4Bollen, Kenneth A. 1989. Structural Equations With Latent Variables. JOHN WILEY & SONS.
  • 5Collett, D. 1994. Modeling Survival Data in Medical Research. Chapman & Hall.
  • 6Ferraro, Kenneth F. and Jessica A. Kelley - Moore. 2003. A Half Century of Longitudinal Methods in Social Gerontology: Evidence of Change in the Journal. Journal of Gerontology: Social Sciences, 58B(5).
  • 7Fisher, R. A. 1950. Statistical Methods for Research Workers, 11th edition. Oliver and Boyd, London.
  • 8Hox, Joop. 2002. Multilevel Analysis : Techniques and Applications. Lawrence Erlbaum Associates, Publishers.
  • 9Le, Chap T. 1997. Applied Survival Analysis. John Wiley & Sons, Inc.
  • 10Lee, E. W, L. J. Wei, and D. Amato. 1992. Cox - type Regression Analysis for Large Number of Small Groups of Correlated Failure Time Observation. In Survival Analysis, State of the Art. Netherlands : Kluwer Academic Publishers.

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