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引用次数: 1
摘要
大卫·德雷柏1995。模型不确定性的评估与传播皇家统计学会学报,B辑57:45-97。弗里德曼,大卫A. 1983。关于筛选回归方程的注释。美国统计学家37:152-55。Leamer, Edward E. 1983。“让我们摒弃计量经济学的弊端。”美国经济评论73:31-43。拉特里,阿德里安E. 1996。广义线性模型中近似贝叶斯因子和模型不确定性的计算。生物统计学83:251 - 66。Young, Cristobal和Katherine Holsteen, 2017。模型不确定性和鲁棒性:多模型分析的计算框架。社会学方法与研究46:3-40。
Rejoinder: Can We Weight Models by Their Probability of Being True?
Draper, David. 1995. “Assessment and Propagation of Model Uncertainty.” Journal of the Royal Statistical Society, Series B 57:45–97. Freedman, David A. 1983. “A Note on Screening Regression Equations.” American Statistician 37:152–55. Leamer, Edward E. 1983. “Let’s Take the Con out of Econometrics.” American Economic Review 73:31–43. Raftery, Adrian E. 1996. “Approximate Bayes Factors and Accounting for Model Uncertainty in Generalised Linear Models.” Biometrika 83:251–66. Young, Cristobal, and Katherine Holsteen. 2017. “Model Uncertainty and Robustness: A Computational Framework for Multimodel Analysis.” Sociological Methods and Research 46:3–40.
期刊介绍:
Sociological Methodology is a compendium of new and sometimes controversial advances in social science methodology. Contributions come from diverse areas and have something useful -- and often surprising -- to say about a wide range of topics ranging from legal and ethical issues surrounding data collection to the methodology of theory construction. In short, Sociological Methodology holds something of value -- and an interesting mix of lively controversy, too -- for nearly everyone who participates in the enterprise of sociological research.