標題: 重複量測資料的層次變換模型
A Transformed Hierarchical Model For Repeated Measurement Data
作者: 王芝峰
Chih-Feng Wang
陳志榮
Chih-Rung Chen
統計學研究所
關鍵字: 變換;層次;重複量測資料;概似推論;經驗貝氏;最佳估計函數;穩健性;Transformation;Hierarchical;Repeated measurement data;Likelihood inference;Empirical Bayes;Optimal estimating function;Robustness
公開日期: 2002
摘要: 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。
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.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT910337025
http://hdl.handle.net/11536/70052
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