| DC 欄位 |
值 |
語言 |
| DC.contributor | 統計研究所 | zh_TW |
| DC.creator | 張逸塵 | zh_TW |
| DC.creator | Yi-chen Zhang | en_US |
| dc.date.accessioned | 2009-6-22T07:39:07Z | |
| dc.date.available | 2009-6-22T07:39:07Z | |
| dc.date.issued | 2009 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=962205016 | |
| dc.contributor.department | 統計研究所 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 本文主要目的在於探討誤差項具自我迴歸之貝氏線性混合效應模型。經由混合先驗分佈，找出顯著的固定效應與隨機效應變數，進而得到中位機率模型，並由該模型進行貝氏之推論與預測。最後將此模型應用在一組高血糖和相對高胰島素血症，對於葡萄糖的容忍度實驗之資料中，結果顯示，本文提出的方法可以提供準確的預測。
| zh_TW |
| dc.description.abstract | In this thesis, we address the problem of Bayesian linear mixed effects model with auto-regressive errors. We consider a mixture prior to identify subsets of covariates having nonzero fixed effect coefficients or nonzero random effects variance, and eventually obtain a median probability model, which is utilized for Bayesian inference and prediction. Finally, the proposed method is applied to a study of the association of hyperglycemia and relative hyperinsulinemia, and it yields very accurate prediction results.
| en_US |
| DC.subject | 自我迴歸模型 | zh_TW |
| DC.subject | 吉比氏抽樣法 | zh_TW |
| DC.subject | 混合先驗分佈 | zh_TW |
| DC.subject | 隨機效應 | zh_TW |
| DC.subject | 固定效應 | zh_TW |
| DC.subject | 貝氏預測 | zh_TW |
| DC.subject | 中位機率模型 | zh_TW |
| DC.subject | Fixed effect | en_US |
| DC.subject | Random effect | en_US |
| DC.subject | Mixture prior | en_US |
| DC.subject | Gibbs sampling | en_US |
| DC.subject | AR(1) model | en_US |
| DC.subject | Median probability model | en_US |
| DC.subject | Bayesian prediction | en_US |
| DC.title | 混合先驗分佈下誤差項為自我迴歸之線性混合效應模型的貝氏分析 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | Bayesian Inference on the Linear Mixed-Effect Models with Autoregressive Errors Using Mixture Priors | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |