Model-Based Recursive Partitioning with Adjustment for Measurement Error Applied to the Cox’s Proportional Hazards and Weibull Model /

Model-Based Recursive Partitioning with Adjustment for Measurement Error Applied to the Cox’s Proportional Hazards and Weibull Model /

Model-based recursive partitioning (MOB) provides a powerful synthesis between machine-learning inspired recursive partitioning methods and regression models. Hanna Birke extends this approach by allowing in addition for measurement error in covariates, as frequently occurring in biometric (or econo...

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Bibliographic Details
Main Author: Birke, Hanna (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2015.
Series:BestMasters
Subjects:
Mathematics.
Cancer research.
Computer mathematics.
Biomathematics.
Computational Mathematics and Numerical Analysis.
Mathematical and Computational Biology.
Cancer Research.
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ΒΚΠ - Πατρα: ALFd

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ΒΚΠ - Πατρα: BSC

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Call Number: 330.01 BAU
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