| dc.contributor | 統計系 | en_US |
| dc.creator (作者) | 邵軍 ; 周賢忠 ; 林慧 | zh_TW |
| dc.creator (作者) | Shao, Jun;Chow, Shein-Chung;Ju, Huey L. | - |
| dc.date (日期) | 1995-06 | en_US |
| dc.date.accessioned | 4-Jun-2014 12:23:50 (UTC+8) | - |
| dc.date.available | 4-Jun-2014 12:23:50 (UTC+8) | - |
| dc.date.issued (上傳時間) | 4-Jun-2014 12:23:50 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/66449 | - |
| dc.description.abstract (摘要) | 在這篇論文中，我們考慮了非完整二序列二元交叉實驗設計 (incomplete two sequence dual crossover design) 的統計推論。我們推導出人體內差異(within subject variabilities) 在相等及不等的條件下，處理 (treatment) 的有效估計值及其t統計量。這個研究結果顯示在人體內差異相等的情況時，我們可獲得精確 (exact)的有限樣本結果。反之，在人體內差異不等時，精確有限樣本結果則無法求之。然而，在溫和的條件 (mild condition)下，我們建立一些有限樣本的精確結果及大樣本結果。 | en_US |
| dc.description.abstract (摘要) | Statistical inference on the effect of two treatments, based on incomplete data from a two-sequence dual crossover design, is considered. Efficient estimates of the treatment effect and the corresponding t- type statistics are derived for both cases of equal and unequal within-subject variabilities. In the case of equal within-subject variability, exact results for finite samples are obtained. When within-subject variabilities are unequal, there may exist no exact finite sample results. Under mild conditions, some exact finite sample results and some large sample results are established. | en_US |
| dc.format.extent | 384584 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | 中國統計學報,33(2),215-233 | en_US |
| dc.subject (關鍵詞) | 二元交叉實驗設計 ; 有效性 ; 不完整資料 ; 樣本大小 ; 人體內差異 | en_US |
| dc.subject (關鍵詞) | Dual crossover ; Efficiency ; Incomplete data ; Sample size ; Within-subject variability | en_US |
| dc.title (題名) | 欠值重複交叉實驗設計之分析 | zh_TW |
| dc.title.alternative (其他題名) | Analysis of Missing Data for Replicate Crossover Design | en_US |
| dc.type (資料類型) | article | en |
