Integral approximations for computing optimum designs in random effects logistic regression models

DOI10.1016/J.CSDA.2012.05.024zbMath1471.62195OpenAlexW2058705307MaRDI QIDQ1621408

M. T. Santos-Martín, Chiara Tommasi, Juan Manuel Rodríguez-Díaz

Publication date: 8 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.05.024

zbMATH Keywords

information matrixinfluence functionFisher information matrixoptimal design of experimentsbinary regression model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Generalized linear models (logistic models) (62J12)

Related Items (6)

Special issue on algorithms for design of experiments ⋮ Robust population designs for longitudinal linear regression model with a random intercept ⋮ Computation of \(c\)-optimal designs for models with correlated observations ⋮ D-optimal experimental designs for a growth model applied to a Holstein-Friesian dairy farm ⋮ Robust integer-valued designs for linear random intercept models ⋮ KL-optimal experimental design for discriminating between two growth models applied to a beef farm

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