排序方式: 共有1条查询结果,搜索用时 0 毫秒
1
1.
T. Timothy Chen Yosef Hochberg Aaron Tenenbein 《Journal of statistical planning and inference》1984,9(2):177-184
Previous work has been carried out on the use of double-sampling schemes for inference from categorical data subject to misclassification. The double-sampling schemes utilize a sample of n units classified by both a fallible and true device and another sample of n2 units classified only by a fallible device. In actual applications, one often hasavailable a third sample of n1 units, which is classified only by the true device. In this article we develop techniques of fitting log-linear models under various misclassification structures for a general triple-sampling scheme. The estimation is by maximum likelihood and the fitted models are hierarchical. The methodology is illustrated by applying it to data in traffic safety research from a study on the effectiveness of belts in reducing injuries. 相似文献
1