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題名:Bayesian Inference in Binomial Logistic Regression: A Case Study of the 2002 Taipei Mayoral Election
書刊名:人文及社會科學集刊
作者:蔡佳泓
作者(外文):Tsai, Chia-hung
出版日期:2005
卷期:17:1
頁次:頁103-123
主題關鍵詞:貝式定理事前資訊預測事後模擬二元勝算迴歸投票選擇Bayesian statisticsPrior informationPredictive posterior simulationBinomial logistic regressionVoting choice
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(1) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:331
  • 點閱點閱:46
貝式統計假設未知的參數有特殊的參數分布,在估計模型時包含未知參數的事先資訊以及最大概似函數。而且,貝式統計以及傳統的統計方法的估計皆是無偏估計。本研究使用WinBUGS及R語言對2002年臺北市長的選舉資料估計一個二元勝算的投票模型,得出事後的分布以產生參數估計及可信區間。在加入第一次調查所得出的事前資訊到第二次調查的模型之後,發現貝式模型提供一個更準確的依變項預測值的估計。本研究在方法上的貢獻是提供一個應用貝式統計在二元勝算迴歸模型的例子,並且嘗試納入事前資訊以增強選舉的預測。
Bayesian statistics assumes that there are specific parameteric distributions for the unknown parameters. It fits the probability model of interest by incorporating prior information regarding the unknown parameters and the likelihood function of the observed data. Moreover, Bayesian statistics as well as non-Bayesian methods produce good asymptotic results. Using WinBUGS and R language, a binomial logistic regression model of voting choice in the 2002 Taipei mayoral election is developed. Adding the prior information from the first panel to the estimation of the second panel, the Bayesian model yields sharper estimates concerning the election outcome. Additionally, the replication of data provides a model check and the baseline of the new observations. The methodological contribution of this paper is the ability to fit a binary logistic regression model with the observed data using the Bayesian inference.
期刊論文
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會議論文
1.江肇國(2002)。臺灣民眾眼中政黨立場之變遷。0。  延伸查詢new window
研究報告
1.劉念夏(2001)。臺灣地區選舉預測研究的知識脈絡(上):學科生產的知識典範。0。  延伸查詢new window
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1.劉義周(1996)。The Behavior of Taiwanese Voters in 1992: Consolidation of Partisan Ties。Taiwan's Electoral Politics and Democratic Transition: Riding the Third Wave。New York, NY:M. E. Sharpe。  new window
 
 
 
 
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