廣義成長曲線模型的預測分析

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DC Field	Value	Language
dc.contributor.author	李俊緯	en_US
dc.contributor.author	Lee, Jiunn-Wei	en_US
dc.contributor.author	李昭勝	en_US
dc.contributor.author	Jack C. Lee	en_US
dc.date.accessioned	2014-12-12T02:18:33Z	-
dc.date.available	2014-12-12T02:18:33Z	-
dc.date.issued	1997	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#NT860338006	en_US
dc.identifier.uri	http://hdl.handle.net/11536/62700	-
dc.description.abstract	由於曲線模型於廣義成長的預測分佈的複雜性, 我們提出幾種可行的近似預測分佈。藉由Gibbs sampling所模擬的預測分佈, 和近似預測分佈比較, 我們可以得到最佳的近似分佈。 Due to the complexity of predictive distributions forthe generalized growth curve model, we propose some useful approximations.Using the Gibbs sampling, we can compare the simulations with theapproximate predictive distributions to obtain the best approximationamong the candidates considered.	zh_TW
dc.language.iso	zh_TW	en_US
dc.subject	廣義成長曲線模型	zh_TW
dc.subject	預測分佈	zh_TW
dc.subject	Generalized Growth Curve Model	en_US
dc.subject	Predictive Distribution	en_US
dc.title	廣義成長曲線模型的預測分析	zh_TW
dc.title	On Predictive Distributions for the Generalized Growth Curve Model	en_US
dc.type	Thesis	en_US
dc.contributor.department	統計學研究所	zh_TW
Appears in Collections:	Thesis