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題 名 | Estimators for Linear Regression with Censored Data=設限迴歸之估計量 |
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作 者 | 劉惠美; 蔡典龍; | 書刊名 | 統計與資訊評論 |
卷 期 | 3 1997.09[民86.09] |
頁 次 | 頁54-68 |
分類號 | 319.51 |
關鍵詞 | Buckley-James估計量; 設限迴歸; Buckley-James estimator; Bootstrap; |
語 文 | 英文(English) |
中文摘要 | 近年來引用線性迴歸模型探討存活資料的各種迴歸係數估計量當中,以Buckley和James(B-J)所提之估計量評價較佳。本文主要是提出B-J估計量易於解釋和計算,吾人亦証明此型式之估計量確實與B-J估計量同義。同時吾人亦提出修正估計量,透過電腦模擬,此修正後之估計量表現比B-J估計量好。 |
英文摘要 | The estimator proposed by Buckley and James (1979) for estimating the linear regression coefficients with censored data has performed well in several studies. This article presents and estimator that is simpler to implement and explain to non-statisticians than the Buckley-James (B-J) estimator does. Moreover the estimator presented is equivalent to the B-J estimator. The aim of this article is to show that the B-J estimator can be viewed in a direct way of arithmetic average. We also modify the estimator to get another estimator that performs better than the equivalent estimator. |
本系統中英文摘要資訊取自各篇刊載內容。