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摘要
This paper proposes anew estimator of regression coefficient in a linear model when both variables are observed with errors. Unlike previous estimators, the new estimator fully utilizes instrumental errors ratio (k) available to the experimental researcher. When compared to other estimators, our estimator is easy to use and provides an estimate with less bias. It is also a generalization of existing methods when k takes different values.
- 出版日期2009-3
- 单位西华大学
