Analysis of short-term systematic measurement error variance for the difference of paired data without repetition of measurement
Tóm tắt
The variance of short-term systematic measurement errors for the difference of paired data is estimated.
The difference of paired data is determined by subtracting the measurement results of two methods, which
measure the same item only once without measurement repetition. The unbiased estimators for short-term
systematic measurement error variances based on the one-way random effects model are not fit for practical
purpose because they can be negative. The estimators, which are derived for balanced data as well as for
unbalanced data, are always positive but biased. The basis of these positive estimators is the one-way
random effects model. The biases, variances, and the mean squared errors of the positive estimators are
derived as well as their estimators. The positive estimators are fit for practical purpose.
Từ khóa
Tài liệu tham khảo
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