| dc.contributor | 國立政治大學統計學系 | en_US |
| dc.contributor | 行政院國家科學委員會 | en_US |
| dc.creator (作者) | 鄭宗記 | zh_TW |
| dc.date (日期) | 2010 | en_US |
| dc.date.accessioned | 30-Aug-2012 09:58:27 (UTC+8) | - |
| dc.date.available | 30-Aug-2012 09:58:27 (UTC+8) | - |
| dc.date.issued (上傳時間) | 30-Aug-2012 09:58:27 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/53371 | - |
| dc.description.abstract (摘要) | 當分析2×2 列聯表時，可利用格內的機率（及勝算比）作為評估的參數；其方法可假 設此列聯表服從一多項分配。當資料存在離群值時，最大概似估計的結果多不具一致 性；因此本計畫之目的，即在建立一k 個2×2 列聯表分析的穩健估計。考慮在許多2× 2 列聯表資料中存在離群值（列聯表）時，藉由最大削減概似估計方法以獲致此多項分 配的格內的機率穩健估計。研究結果將以電腦模擬分析及文獻中實際的資料例子分析 來陳現。 | en_US |
| dc.description.abstract (摘要) | While analyzing 2×2 contingency tables, the probabilities of the four cells (and the odds ratio) are often the important parameters to be investigated. The standard way of estimation and testing is to assume a four-cell multinomial model for a 2×2 table. In the presence of outliers, inferences based on the maximum likelihood estimation for categorical data analysis are generally inconsistent. The purpose of this project is to develop a robust method for analyzing k 2×2 tables. Here we describe a maximum trimmed likelihood estimation technique to estimate the cell probabilities for a multinomial model when some possible outliers exist among several 2×2 tables. The proposed procedure is illustrated using simulation study and some real data sets. | en_US |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | 基礎研究 | en_US |
| dc.relation (關聯) | 學術補助 | en_US |
| dc.relation (關聯) | 研究期間:9908~ 10007 | en_US |
| dc.relation (關聯) | 研究經費:286仟元 | en_US |
| dc.subject (關鍵詞) | 列聯表;前進搜尋演算法;最大削減概似估計;穩健診斷 | en_US |
| dc.subject (關鍵詞) | Contingency table; forward search algorithm; maximum trimmed likelihood estimator; robust diagnostics | en_US |
| dc.title (題名) | 2x2列聯表之穩健診斷 | en_US |
| dc.title.alternative (其他題名) | Robust Diagnostics for Several 2x2 Contingency Tables | en_US |
| dc.type (資料類型) | report | en |
