The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing
type: Item
instance of: scholarly article
zbMATH Open document ID: 0536.62071
DOI: 10.2307/2287113
author: William E. Wecker
author: Craig F. Ansley
publication date: 1983-01-01T00:00:00Z
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 41A15
Mathematics Subject Classification ID: 62G99
Mathematics Subject Classification ID: 62M20
zbMATH DE Number: 3852257
zbMATH Keywords: signal extraction approach
zbMATH Keywords: nonlinear regression
zbMATH Keywords: nonparametric regression
zbMATH Keywords: Wiener process
zbMATH Keywords: confidence bounds
zbMATH Keywords: exact maximum likelihood estimator
zbMATH Keywords: Markov structures
zbMATH Keywords: state space formulation
zbMATH Keywords: Kalman filter approach
zbMATH Keywords: recursive algorithms
zbMATH Keywords: polynomial splines
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.2307/2287113
OpenAlex ID: W4243566045
title: The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing
description: scientific article