Box-Cox轉換之線性模型上Sweeting的先驗分配

Full metadata record

DC Field	Value	Language
dc.contributor.author	林于善	en_US
dc.contributor.author	Yu-Shan Lin	en_US
dc.contributor.author	李昭勝	en_US
dc.contributor.author	Jack C.Lee	en_US
dc.date.accessioned	2014-12-12T02:30:09Z	-
dc.date.available	2014-12-12T02:30:09Z	-
dc.date.issued	2002	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#NT910337021	en_US
dc.identifier.uri	http://hdl.handle.net/11536/70048	-
dc.description.abstract	利用貝氏法來分析觀察值經由Box-Cox轉換的線性模型，文獻上有些不同的先驗分配。本論文將比較這些先驗分配 (含MCMC法應用於Sweeting之先驗分配) 的優劣點，並給真實資料及模擬的結果。	zh_TW
dc.description.abstract	For the analysis of observations in the linear model with Box-Cox transformation, via Bayesian approaches, some different priors have been proposed. In this thesis, we will compare relative merits of different priors including the prior proposed by Sweeting using MCMC methods. Some numerical results with a set of real data and simulation are given.	en_US
dc.language.iso	en_US	en_US
dc.subject	Box-Cox轉換	zh_TW
dc.subject	Box-Cox transformation	en_US
dc.title	Box-Cox轉換之線性模型上Sweeting的先驗分配	zh_TW
dc.title	On Sweeting's Prior Distribution for the Box-Cox Transformed Linear Model	en_US
dc.type	Thesis	en_US
dc.contributor.department	統計學研究所	zh_TW
Appears in Collections:	Thesis