Model selection in magnetic resonance imaging

DOI10.1080/03610929308831225zbMath0960.62561OpenAlexW2006501178WikidataQ115096361 ScholiaQ115096361MaRDI QIDQ4856056

Joe E. Ensor, Katherine Bennett Ensor

Publication date: 17 May 2001

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929308831225

Mathematics Subject Classification ID

General nonlinear regression (62J02) Biomedical imaging and signal processing (92C55) Applications of statistics (62P99)

Cites Work

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• Testing nested or non-nested hypotheses
• The unifying role of iterative generalized least squares in statistical algorithms. With comments by Bent Jørgensen, Peter McCullagh, Joe R. Hill and a rejoinder by the author
• The null and non-null asymptotic distribution of the Cox test for multivariate nonlinear regression. Alternatives and a new distribution-free Cox test
• Regression Analysis of Poisson-Distributed Data
• Regression and time series model selection in small samples

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