Statistical Inference for Two-Compartment Model Parameters with Bootstrap Method and Genetic Algorithm

DOI10.1007/978-3-319-73241-1_14zbMath1397.62244OpenAlexW2787501018MaRDI QIDQ4689259

Özlem Türkşen, Müjgan Tez

Publication date: 15 October 2018

Published in: Contributions to Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-73241-1_14

zbMATH Keywords

bootstrap methodnonlinear regressioncompartment modelgenetic algorithm (GA)

Mathematics Subject Classification ID

General nonlinear regression (62J02) Bootstrap, jackknife and other resampling methods (62F40)

Cites Work

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• Nonparametric evaluation of heterogeneity of brain regions in neuroreceptor mapping applications
• Bootstrap methods: another look at the jackknife
• Estimating the parameters of the linear compartment model
• Jackknife, bootstrap and other resampling methods in regression analysis
• Regression analysis of compartmental models
• Better Bootstrap Confidence Intervals
• More accurate confidence intervals in exponential families
• Robust BCa–JaB method as a diagnostic tool for linear regression models

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