Keywords
Nonparametric regressionNonparametric statisticsMathematicsGeneralized linear modelLinear regressionStatisticsEconometricsRegressionRegression analysisLinear modelPenalty methodComputer scienceApplied mathematicsMathematical optimization
Related Publications
Cross-Validatory Choice and Assessment of Statistical Predictions
Summary A generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescription. The example...
Linear Smoothers and Additive Models
We study linear smoothers and their use in building nonparametric regression models. In the first part of this paper we examine certain aspects of linear smoothers for scatterpl...
performance: An R Package for Assessment, Comparison and Testing of Statistical Models
A crucial part of statistical analysis is evaluating a model's quality and fit, or performance.During analysis, especially with regression models, investigating the fit of model...
Covariance Analysis of Censored Survival Data
The use of regression models for making covariance adjustments in the comparsion of survival curves is illustrated by application to a clinical trial of maintenance therapy for ...
Spline Smoothing: The Equivalent Variable Kernel Method
The spline smoothing approach to nonparametric regression and curve estimation is considered. It is shown that, in a certain sense, spline smoothing corresponds approximately to...
Publication Info
- Year
- 1994
- Type
- article
- Volume
- 50
- Issue
- 4
- Pages
- 1228-1228
- Citations
- 1191
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
1191
OpenAlex
Cite This
D. J. Best,
P. J. Green,
B. W. Silverman
(1994).
Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach..
Biometrics
, 50
(4)
, 1228-1228.
https://doi.org/10.2307/2533467
Identifiers
- DOI
- 10.2307/2533467