完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | 龔自良 | en_US |
dc.contributor.author | Tz-Liang Kueng | en_US |
dc.contributor.author | 李昭勝 | en_US |
dc.contributor.author | J. C. Lee | en_US |
dc.date.accessioned | 2014-12-12T02:24:56Z | - |
dc.date.available | 2014-12-12T02:24:56Z | - |
dc.date.issued | 2000 | en_US |
dc.identifier.uri | http://140.113.39.130/cdrfb3/record/nctu/#NT890337014 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/66765 | - |
dc.description.abstract | 在本篇論文中,我們著眼於以貝氏方法及最大概似法兩種 觀點來分析㆒具有幂次轉換,隨機效應及 AR(g)相關之廣義成 長曲線模型。所含蓋的統計推論除了參數的估計之外,尚包括 有對未觀測值的預測。另外,實際資料及模擬資料的分析比較 在文中均有詳細的討論。 | zh_TW |
dc.description.abstract | In this paper, we devote ourselves to a generalized growth curve model with power transformation, random effects and AR($g$) dependence via Bayesian and Maximum-Likelihood (ML) approaches. Inferences on the parameters as well as the future value are discussed. Some numerical results with real and simulated data are also given.\\ {\bf Key words}: Approximation, Bayesian, Longitudinal data, Maximum likelihood, Markov Chain Monte Carlo, Real data, Simulated data. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | 近似 | zh_TW |
dc.subject | 貝氏方法 | zh_TW |
dc.subject | 長期資料 | zh_TW |
dc.subject | 最大概似 | zh_TW |
dc.subject | 馬可夫蒙地卡羅法 | zh_TW |
dc.subject | 實際資料 | zh_TW |
dc.subject | 模擬資料 | zh_TW |
dc.subject | Approximation | en_US |
dc.subject | Bayesian | en_US |
dc.subject | Longitudinal data | en_US |
dc.subject | Maximum likelihood | en_US |
dc.subject | Markov Chain Monte Carlo | en_US |
dc.subject | Real data | en_US |
dc.subject | Simulated data | en_US |
dc.title | 具冪次轉換,隨機效應及AR(g)相關之成長曲線模型的參數估計與預測 | zh_TW |
dc.title | Parameter Estimation and Future Value Prediction of Growth Curve Model with Power Transformation, Random Effects and General AR(g) Dependence | 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 |