Title

Robust regression and outlier detection by Annick M. Leroy, Peter J. Rousseeuw

Robust regression and outlier detection Annick M. Leroy, Peter J. Rousseeuw ebook
Publisher: Wiley
Page: 347
ISBN: 0471852333, 9780471852339
Format: pdf

Milwaukee Robust regression and outlier detection. WILEY–INTERSCIENCE PAPERBACK SERIES The Wiley–Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. New York: How to detect and handle outliers. RobustWLS - Robust regression using Weighted-least-squares SPM2 SPM5 SPM8. Summary: This toolbox implements an approach to detect New version has improved plotting and outlier detection. The CCA-fMRI toolbox provides its own user interface and can .. Authors: Toward Coherent Object Detection And Scene Layout Understanding Robust RVM Regression Using Sparse Outlier Model. Summary: The CCA-fMRI utilizes canonical correlation analysis in combination with the Balloon model and adaptive filtering of fMRI data to detect areas of brain activation. High Performance Object Detection by Collaborative Learning of Joint Ranking of Granule Features. Author: Joern Diedrichsen & Reza Shadmehr. Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Applied regression analysis (2nd ed.).