本文選題：加法風(fēng)險(xiǎn)模型 + 區(qū)間刪失�。� 參考：《應(yīng)用概率統(tǒng)計(jì)》2017年05期

【摘要】：聚類區(qū)間刪失失效時(shí)間常出現(xiàn)于醫(yī)學(xué)研究中研究對(duì)象來自同一個(gè)類中的情形.此外,失效時(shí)間可能與類的大小相關(guān).由于缺乏直接分析所需的推演過程,因此常見的簡(jiǎn)單方式就是簡(jiǎn)化區(qū)間刪失數(shù)據(jù).鑒于此,本文提出了類內(nèi)重抽樣方法來考慮加法風(fēng)險(xiǎn)模型下的Ⅱ型區(qū)間刪失問題.類內(nèi)重抽樣的方法簡(jiǎn)單但需要大量計(jì)算,這一方法的主要優(yōu)勢(shì)在于在類的大小相關(guān)時(shí),估計(jì)變量易于實(shí)現(xiàn).漸近性質(zhì)和部分模擬結(jié)果的討論驗(yàn)證了該方法的有效性.
[Abstract]:Clustering interval censored failure time often occurs in the case of medical research object from the same class. In addition, the time of failure may depend on the size of the class. Due to the lack of direct analysis of the required deduction process, so the common simple way is to simplify interval censored data. In view of this, this paper puts forward the method of intra-class re-sampling to consider the problem of type 鈪，

本文編號(hào)：1990884