Least squares estimation of linear splines with unknown knot locations
From MaRDI portal
Publication:1186053
DOI10.1016/0167-9473(92)90149-AzbMath0742.62077OpenAlexW1984930127MaRDI QIDQ1186053
Publication date: 28 June 1992
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-9473(92)90149-a
best knot locations for splinesleast squares estimation of spline functionslinear splines with unknown knot locationsminimizing location
Linear inference, regression (62J99) Probabilistic methods, stochastic differential equations (65C99)
Related Items (3)
Simultaneous confidence band for the difference of segmented linear models ⋮ Type I errors linked to faulty statistical analyses of endangered subspecies classifications ⋮ Application of resampling and linear spline methods to spectral and dispersional analyses of long-memory processes
Cites Work
- The Modified Gauss-Newton Method for the Fitting of Non-Linear Regression Functions by Least Squares
- A New Maximum Likelihood Algorithm for Piecewise Regression
- Fitting Segmented Polynomial Regression Models Whose Join Points have to be Estimated
- Fitting Segmented Curves Whose Join Points Have to be Estimated
- Inference in Two-Phase Regression
This page was built for publication: Least squares estimation of linear splines with unknown knot locations