Abstract
The aim of the simulation study is to analyse the performance of the corrected estimator, which is derived via the new implemented corrected log-likelihood of the Weibull model. The simulation study is divided in three parts. At first, the behaviour of the new implemented fit function SurvRegcorr@fit(), which is used in the MOB algorithm, is analysed separately (see Section 4.1). Secondly, the performance of SurvRegcorr@fit() within the MOB algorithm as well as the detection rate for the true underlying tree structure is examined (see Section 4.2).
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2015 Springer Fachmedien Wiesbaden
About this chapter
Cite this chapter
Birke, H. (2015). Simulation Study. In: Model-Based Recursive Partitioning with Adjustment for Measurement Error. BestMasters. Springer Spektrum, Wiesbaden. https://doi.org/10.1007/978-3-658-08505-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-658-08505-6_4
Published:
Publisher Name: Springer Spektrum, Wiesbaden
Print ISBN: 978-3-658-08504-9
Online ISBN: 978-3-658-08505-6
eBook Packages: Behavioral ScienceBehavioral Science and Psychology (R0)