Spiking problem in monotone regression: Penalized residual sum of squares

Jayanta Kumar Pal

doi:10.1016/j.spl.2008.01.015

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Spiking problem in monotone regression: Penalized residual sum of squares

Jayanta Kumar Pal

Year: 2008 Journal: Statistics & Probability Letters Vol: 78 (12)Pages: 1548-1556 Publisher: Elsevier BV

DOI: 10.1016/j.spl.2008.01.015

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Keywords:

Mathematics Residual sum of squares Residual Consistency (knowledge bases) Monotone polygon Least-squares function approximation Statistics Generalized least squares Explained sum of squares Applied mathematics Confidence interval Total least squares Limit (mathematics) Regression Combinatorics Non-linear least squares Mathematical analysis Algorithm Discrete mathematics Estimator

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Spiking problem in monotone regression: Penalized residual sum of squares

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