Selection of Predictors in Distance-Based Regression
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Publication:3447065
DOI10.1080/03610910601096312zbMath1113.62045OpenAlexW1972110767MaRDI QIDQ3447065
Josep Fortiana, M. Mercè Claramunt Bielsa, Eva Boj del Val
Publication date: 28 June 2007
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610910601096312
Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Nonparametric statistical resampling methods (62G09)
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Cites Work
- Metric and Euclidean properties of dissimilarity coefficients
- Bootstrapping regression models
- Modern multidimensional scaling: theory and applications
- A family of matrices, the discretized Brownian bridge, and distance-based regression
- A better way to bootstrap pairs.
- Some computational aspects of a distance—based model for prediction
- Some distance properties of latent root and vector methods used in multivariate analysis
- Linear Statistical Inference and its Applications
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