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• W2130896399 abstract "AbstractVarious methods have been proposed for smoothing under the monotonicity constraint. We review the literature and implement an approach of monotone smoothing with B-splines for a generalized linear model response. The approach is expressed as a quadratic programming problem and is easily solved using the statistical software R. In a simulation study, we find that the approach performs better than other approaches with much faster computation time. The approach can also be used for smoothing under other shape constraints or mixed constraints. Supplementary materials of the appendices and R code to implement the developed approach is available online.KeywordsMonotonicity constraintQuadratic programmingRegression models SUPPLEMENTARY MATERIALSAppendix A and B: A brief description of the B-spline basis functions and derivation of Equation (Equation3(3) minβ-(y-μ˜)D˜+β˜'B'W˜'Bβ+12β'B'W˜B+λPβ.(3) ). (.pdf file)R code for MB estimator: R code to implement the developed MB estimator in the article. (.R file)" @default.
• W2130896399 created "2016-06-24" @default.
• W2130896399 creator A5046597133 @default.
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• W2130896399 date "2015-01-02" @default.
• W2130896399 modified "2023-10-03" @default.
• W2130896399 title "Monotone B-Spline Smoothing for a Generalized Linear Model Response" @default.
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• W2130896399 doi "https://doi.org/10.1080/00031305.2014.969445" @default.
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