Zobrazeno 1 - 10
of 302
pro vyhledávání: '"Dennis Cook"'
Autor:
Dennis Cook, R., Forzani, Liliana
Publikováno v:
In Journal of Business Research November 2023 167
Publikováno v:
Canadian Journal of Statistics.
Publikováno v:
Journal of Statistical Software, Vol 62, Iss 1, Pp 1-20 (2015)
Envelope models and methods represent new constructions that can lead to substantial increases in estimation efficiency in multivariate analyses. The envlp toolbox implements a variety of envelope estimators under the framework of multivariate linear
Externí odkaz:
https://doaj.org/article/f84874d59ec94ba6b835ad168f91679a
Publikováno v:
Journal of Multivariate Analysis. 196:105163
Publikováno v:
Scandinavian Journal of Statistics. 49:481-501
Publikováno v:
Statistics and Computing. 30:237-253
Parameter reduction can enable otherwise infeasible design and uncertainty studies with modern computational science models that contain several input parameters. In statistical regression, techniques for sufficient dimension reduction (SDR) use data
Publikováno v:
In Journal of Statistical Planning and Inference 2009 139(3):952-961
Autor:
R. Dennis Cook, Liliana Forzani
Partial least squares (PLS) regression is, at its historical core, a black-box algorithmic method for dimension reduction and prediction based on an underlying linear relationship between a possibly vector-valued response and a number of predictors.T
Autor:
R. Dennis Cook
Publikováno v:
Journal of Multivariate Analysis. 188:104812
We describe how many dimension reduction strategies are connected conceptually and philosophically, paving the way for a unified approach to multivariate dimension reduction in statistics. Specific methods covered include envelopes, sufficient dimens
Autor:
Ding, Shanshan1 sding@udel.edu, Dennis Cook, R.2
Publikováno v:
Journal of the Royal Statistical Society: Series B (Statistical Methodology). Mar2018, Vol. 80 Issue 2, p387-408. 22p.