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nuisance parameters 【統計學】多余參量。

nuisance raid

Abstract : since the multiple failures situation is not uncommon in the clinical medicine , we explore the use of proportional odds model to the multivariate interval - censored data . the approach is based on the conditional logistic regression , which prevents the complications in the existence of nuisance parameters . the estimation of parameters is obtained by the newton - raphson algorithm . the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic . simulations are also presented to assess the accuracy of the procedure 文摘:探索比例優勢模型在臨床醫學中常見的多結局區間截斷數據中的應用.用條件的邏輯回歸方法避免討厭參數的估計,用牛頓-拉普森算法估計回歸系數,用“夾心方差“估計量作為參數方差的估計.通過隨機模型檢驗模型應用的有效性

The least square estimation in linear model is used to derive the two - stage estimation of the item parameter vector 1 of j th item as follows : noting that xj consists of the nuisance parameters s , j , j , were updated so that the estimation of 6 s could be renewed 修正進而修正x _ j和,從而形成一種新的估計方法?雙重兩步迭代估計蒙特卡洛模擬結果顯示,雙重兩步迭代估計提高了估計對真值的恢復能力。

Empirical likelihood ratio confidence regions with a nuisance parameter for dependent samples 相依樣本下帶有討厭參數的經驗似然比置信區域