A Feature Preserving Smoother with Application to the Coal-Mining Disaster Data of Britain
The problem of estimating a discontinuous mean function was studied. A feature preserving smoothing procedure was proposed. The procedure can preserve the discontinuities of the function and detect outliers in the observations. The procedure was applied to analyze the famous data set of the coal-mining disasters of Britain.
Citable link to this pagehttps://hdl.handle.net/1911/101612
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- CAAM Technical Reports