標題: | 具AR相關和冪次轉換之成長曲線模型的貝氏分析 Bayesian Analysis of a General Growth Curve Model with AR Dependence and Power Transformations |
作者: | 楊凱琳 Kai-Lin Yang 李 昭 勝 Dr. Jack C. Lee 統計學研究所 |
關鍵字: | 貝氏;預測;Bayesian;Prediction |
公開日期: | 1999 |
摘要: | 在這篇論文中,我們從貝氏的觀點來考慮具冪次轉換的一般成長曲線模型,而其中共變異數結構是平穩的g次自我迴歸過程。文中探討參數估計和未來值的預測,並以實際的資料和模擬的資料來描述結果。 In this paper we consider Bayesian analysis of generalized growth curve model with power transformation when the covariance matrix A = aC where C is the correlation matrix with the stationary autoregressive process of order g, g < p and a > 0 are unknown. We consider both parameter estimation and prediction of future values. Results are illustrated with real and simulated data. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#NT880337005 http://hdl.handle.net/11536/65372 |
Appears in Collections: | Thesis |