在過去的文獻中，假設測量誤差的變異數不論捕取次數多寡皆是一樣的，似乎蘊含著每隻動物只會被測量一次自變數，在常理上較少使用。由於並非所有觀測對象只會被捕取一次，有些會被捕取一次以上，被捕取多次的觀測值平均值當然也會比較精準，因此我們應將它們全部使用在我們的估計式中，在本文我們將使用RRC的概念利用觀測值平均值進行迴歸係數和母體總數的估計。最後以模擬方法考量自變數與隨機誤差在不同分配之下估計方法的表現，並計算其平均估計值、估計值的樣本標準差、平均估計標準差、樣本均方根差(RMSE)與95%信賴區間涵蓋率(CP)，並對結果加以討論。 Capture-recapture is a commonly used method in estimating the population size.Ideally, covariate can be measured accurately for the statistical analysis.However it is usually measured with measurement error in practice.Some existent method had been developed to accommodate the measurement error,but these methods assume the variance of measurement error is homogeneous.This assumption implies that for each captured animal,the investigator measured its covariate only once though it may be captured more than one time.
It is quite possible in practice that each animal''s covariate is measured everytime whenever it is captured, and the average of the observed value is more accurate than a single observed value.Therefore we constructed an estimating method using the average value based on the concept of refined regression calibration.It turns out that our method is also suitable when the variance of measurement error is heterogeneous.Simulation results are conducted for different kind of variance of measurement error and three kind of distribution of covariates.
