具冪次轉換，隨機效應及ARMA(p,q)相依之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	李國榮	en_US
dc.contributor.author	Kuo-Jung Lee	en_US
dc.contributor.author	李昭勝	en_US
dc.contributor.author	Dr. Jack C. Lee	en_US
dc.date.accessioned	2014-12-12T02:24:56Z	-
dc.date.available	2014-12-12T02:24:56Z	-
dc.date.issued	2000	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#NT890337010	en_US
dc.identifier.uri	http://hdl.handle.net/11536/66761	-
dc.description.abstract	本論文是討論具冪次轉換，隨機效應與ARMA(p,q)相依之一般成長曲線模式的貝氏分析．我們提出二種不同的事前分配，並利用有用的逼近法及 MCMC法．而且在參數估計及未來值的預測問題作一比較．	zh_TW
dc.description.abstract	In this paper we devoted ourselves to a general growth model with power transformation, random effects and ARMA(p,q) dependence. Two prior distributions are proposed and put into comparisions in parameter estimation and predition of future values. Useful approximations and MCMC methods are employed. Some numerical results are illustrated with real and simulated data.	en_US
dc.language.iso	zh_TW	en_US
dc.subject	ARMA(p,q) 相依	zh_TW
dc.subject	貝氏估計	zh_TW
dc.subject	Box-Cox 轉換	zh_TW
dc.subject	成長曲線	zh_TW
dc.subject	隨機效應	zh_TW
dc.subject	重參數化	zh_TW
dc.subject	重覆測驗	zh_TW
dc.subject	ARMA(p,q) dependence	en_US
dc.subject	Bayesian estimation	en_US
dc.subject	Box-Cox transformation	en_US
dc.subject	Growth curve	en_US
dc.subject	Random effects	en_US
dc.subject	Reparametrization	en_US
dc.subject	Repeated measurements	en_US
dc.title	具冪次轉換，隨機效應及ARMA(p,q)相依之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 Transformation, Random Effects and ARMA(p,q) 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