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- W771480814 abstract "In traffic accident models for estimating the expected number of accidents at a road junction, the estimate is obtained as a weighted average of the observed number of accidents at the junction and some normal value. This normal value can be the mean value for a group of similar junctions or an otherwise predicted value. The estimate of the expected number of accidents can be regarded as a linear shrinkage of the observed value towards the normal value. This thesis consists of four separate research papers, (A), (B), (C) and (D). General formulas for the shrinkage parameter are given in (A). The formulas are obtained by applying the method of least squares to linear models. In (B) and (C), the shrinkage parameter is estimated by cross validation. The uncertainty of the estimate is estimated by combining the cross validation with bootstrap technique. In (D), maximum likelihood estimation is used to estimate the shrinkage parameter in a case of accident rates." @default.
- W771480814 created "2016-06-24" @default.
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- W771480814 date "1990-01-01" @default.
- W771480814 modified "2023-09-27" @default.
- W771480814 title "LINEAR SHRINKAGE IN TRAFFIC ACCIDENT MODELS AND THEIR ESTIMATION BY CROSS VALIDATION AND BOOTSTRAP METHODS" @default.
- W771480814 hasPublicationYear "1990" @default.
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