具冪次轉換及AR(1)相依之一般成長曲線模式的貝氏分析

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	柳國清	en_US
dc.contributor.author	Liu, Kuo-Ching	en_US
dc.contributor.author	李昭勝	en_US
dc.contributor.author	Jack C. Lee	en_US
dc.date.accessioned	2014-12-12T02:14:25Z	-
dc.date.available	2014-12-12T02:14:25Z	-
dc.date.issued	1994	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#NT833337001	en_US
dc.identifier.uri	http://hdl.handle.net/11536/59866	-
dc.description.abstract	本論文是討論一般的成長曲線模式的貝氏分析當共變異矩陣為AR(1)相依且應用Box-Cox冪次轉換於模式中。文中由貝氏的觀點來探討參數估計和預測未來值。同時經由Gibbs抽樣方法的貝氏推論也在研究中。最後用實際的資料和模擬的資料來描述一些結果。	zh_TW
dc.description.abstract	In this paper we consider Bayesian analysis of the unbalanced (general) growth curve model with AR(1) dependence, while applying the Box-Cox power transformations. We propose both parameter estimation and prediction of future values. Meanwhile, Bayesian inference by means of Gibbs sampling is also studied. Numerical results are illustrated with several sets of real and simulated data.	en_US
dc.language.iso	en_US	en_US
dc.subject	冪次轉換	zh_TW
dc.subject	成長曲線	zh_TW
dc.title	具冪次轉換及AR(1)相依之一般成長曲線模式的貝氏分析	zh_TW
dc.title	Bayesian Analysis of a General Growth Curve Model with Power Transformations and AR(1) Dependence	en_US
dc.type	Thesis	en_US
dc.contributor.department	統計學研究所	zh_TW
顯示於類別：	畢業論文