Results 221 to 230 of about 672,492 (262)

Robust Principal Components Regression

2002
We consider the multivariate linear regression model with p explanatory variables X and q ≥ 1 response variables Y. Moreover we assume that the regressors are multicollinear. This situation often occurs in the calibration of chemometrical data, where the X-variables correspond with spectra that are measured at many frequencies.
Verboven, S., Hubert, M.
openaire   +2 more sources

Robust regression

2022
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
openaire   +1 more source

Robust Sets of Regression Estimates

Econometrica, 1983
Gilstein, C Zachary, Leamer, Edward E
openaire   +1 more source

Robust Locally Weighted Regression and Smoothing Scatterplots

Journal of the American Statistical Association, 1979
William S Cleveland
exaly   +2 more sources

A Robust Method for Multiple Linear Regression

Technometrics, 1974
D F Andrews
exaly   +2 more sources

Robust Gaussian process regression with a bias model

Pattern Recognition, 2022
Chiwoo Park
exaly  

Modified regression estimators using robust regression methods and covariance matrices in stratified random sampling

Communications in Statistics - Theory and Methods, 2020
Tolga Zaman, Hasan Bulut
exaly  

Robust model selection in regression

Statistics and Probability Letters, 1985
Elvezio Ronchetti
exaly  

Robust nonparametric regression: A review

Wiley Interdisciplinary Reviews: Computational Statistics, 2020
Pavel Cizek
exaly  

Normal/Independent Distributions and Their Applications in Robust Regression

Journal of Computational and Graphical Statistics, 1993
Janet Sinsheimer, Kenneth Lange
exaly