D-optimal design for logistic model based on more precise approximation

DOI10.1080/03610926.2021.1957482MaRDI QIDQ6587703

Hooshang Talebi, Unnamed Author, Unnamed Author

Publication date: 14 August 2024

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

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
• Comparison of some bounds in estimation theory
• D-optimal designs for logistic models with three and four parameters
• Optimal Design for Nonlinear Response Models
• An Introduction to Probability and Statistics
• The Equivalence of Two Extremum Problems
• Design considerations for small experiments and simple logistic regression
• Bias reduction of maximum likelihood estimates
• Modified D-optimal design for logistic model
• Bayesian D-optimal design for logistic regression model with exponential distribution for random intercept
• Optimal Design for Multiple Regression with Information Driven by the Linear Predictor
• Optimal Design of Experiments
• Design of Experiment for Bioassay
• The effect of small sample on optimal designs for logistic regression models
• Optimal designs for binary data under logistic regression

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