重複量測資料的層次變換模型

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	王芝峰	en_US
dc.contributor.author	Chih-Feng Wang	en_US
dc.contributor.author	陳志榮	en_US
dc.contributor.author	Chih-Rung Chen	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/#NT910337025	en_US
dc.identifier.uri	http://hdl.handle.net/11536/70052	-
dc.description.abstract	變換反應變數的技術在對非服從常態分配的資料常被頻繁地使用。首先，我們回顧三個重要的變換族群例子，他們的值域可能和整個實數線不同。在上述的情況下，我們提出一個針對重複量測資料的變換層次模型。接著，對上述的模型做有母數及半母數的推論。最後，我們也考慮穩健性的推論。	zh_TW
dc.description.abstract	The technique of transforming the response is frequently used for modeling nonnormal data. Three important families of transformations with ranges possibly different from the real line are first reviewed. A transformed hierarchical model is proposed for repeated measurement data in such situations. Both parametric and semiparametric inferences are presented. Consideration of robustness is also discussed.	en_US
dc.language.iso	en_US	en_US
dc.subject	變換	zh_TW
dc.subject	層次	zh_TW
dc.subject	重複量測資料	zh_TW
dc.subject	概似推論	zh_TW
dc.subject	經驗貝氏	zh_TW
dc.subject	最佳估計函數	zh_TW
dc.subject	穩健性	zh_TW
dc.subject	Transformation	en_US
dc.subject	Hierarchical	en_US
dc.subject	Repeated measurement data	en_US
dc.subject	Likelihood inference	en_US
dc.subject	Empirical Bayes	en_US
dc.subject	Optimal estimating function	en_US
dc.subject	Robustness	en_US
dc.title	重複量測資料的層次變換模型	zh_TW
dc.title	A Transformed Hierarchical Model For Repeated Measurement Data	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