[HTML][HTML] Constructing D-optimal designs for multi-parameter binary regression models: A theoretical characterization of support points

N Gündüz - Journal of Radiation Research and Applied Sciences, 2023 - Elsevier
This manuscript presents a comprehensive study on the construction of D-optimal designs
for multiparameter binary regression models. The aim is to expand and validate the …

On the Difference in Cycling Pattern on Linear and Higher-Order Effect Designs

OI Ikpan, FN Nwobi - Asian Journal of Probability and …, 2023 - archive.sdpublishers.com
D-optimality is a design criterion that seeks to maximize the determinant of the information
matrix, or equivalently minimize the determinant of the inverse information matrix of the …

[PDF][PDF] Journal of Agriculture and Crops

S Khaizu, N Devkota, UR Paudel, S Parajuli, S Mahato… - 2022 - academia.edu
This study investigates factors influencing the poultry production of poultry farmers in the
Sindupalchowk district by examining the potential disparities in performance among …

Constructing D-optimal designs for multi-parameter binary regression models: A theoretical characterization of support points

N Gündüz Tekin - JOURNAL OF RADIATION RESEARCH AND …, 2023 - avesis.gazi.edu.tr
This manuscript presents a comprehensive study on the construction of𝐷-optimal designs for
multiparameter binary regression models. The aim is to expand and validate the conjectures …

Diseños Dπ-óptimos para modelos no lineales heteroscedásticos: Un estudio de robustez

C Patiño, VIL Ríos - Ingeniería y ciencia, 2020 - dialnet.unirioja.es
Los diseños óptimos son utilizados para determinar las mejores condiciones donde se debe
realizar un experimento para obtener ciertas propiedades estadísticas. En los modelos no …

Dπ-optimal designs for heteroscedastic nonlinear models: A robustness study

C Patiño-Bustamante, V López-Ríos - Ingeniería y Ciencia, 2020 - scielo.org.co
Optimal designs are used to determine the best conditions where an experiment should be
performed to obtain certain statistical properties. In heteroscedastic nonlinear models where …