A note on mse coverage intervals in a partial spline model
Author:
- 1 January 1987
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 16 (7) , 1851-1866
Abstract
A partial spline model is used to estimate an unknown function which is smooth except for some break points. Assuming the break points are known, a Generalized Cross-Validated smoothing spline estimation method is proposed. Some interval estimation methods for the magnitude of the discontinuities based on the mean square error are introduced and investigated.Keywords
This publication has 10 references indexed in Scilit:
- Semiparametric Estimates of the Relation Between Weather and Electricity SalesJournal of the American Statistical Association, 1986
- Semiparametric Estimates of the Relation between Weather and Electricity SalesJournal of the American Statistical Association, 1986
- From Stein's Unbiased Risk Estimates to the Method of Generalized Cross ValidationThe Annals of Statistics, 1985
- Semi-parametric Generalized Linear Models1985
- Smoothness Priors and Nonlinear RegressionJournal of the American Statistical Association, 1984
- Smoothness Priors and Nonlinear RegressionJournal of the American Statistical Association, 1984
- CONSTRAINED REGULARIZATION FOR ILL POSED LINEAR OPERATOR EQUATIONS, WITH APPLICATIONS IN METEOROLOGY AND MEDICINE11This work was supported by the Office of Naval Research under Contract No. N00014-77-C-0675.1982
- Smoothing noisy data with spline functionsNumerische Mathematik, 1978
- Improper Priors, Spline Smoothing and the Problem of Guarding Against Model Errors in RegressionJournal of the Royal Statistical Society Series B: Statistical Methodology, 1978
- Some results on Tchebycheffian spline functionsJournal of Mathematical Analysis and Applications, 1971