Results 11 to 20 of about 768,227 (181)

D-optimal Saturated Designs: A Simulation Study [PDF]

open access: yes, 2014
8 pages.
Fontana, Roberto   +2 more
openaire   +5 more sources

REGULAR D-OPTIMAL SPRING BALANCE WEIGHING DESIGNS: CONSTRUCTION [PDF]

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2014
Spring balance weighing design there is the model of experiment in that the result of experiment we can present as linear combination of unknown measurements of objects with factors of this combination equal to zero or one.
Bronisław Ceranka
doaj   +3 more sources

D-optimal designs via a cocktail algorithm [PDF]

open access: yes, 2010
A fast new algorithm is proposed for numerical computation of (approximate) D-optimal designs. This "cocktail algorithm" extends the well-known vertex direction method (VDM; Fedorov 1972) and the multiplicative algorithm (Silvey, Titterington and Torsney,
A. Pázman   +25 more
core   +4 more sources

Notes on D‑optimal Spring Balance Weighing Designs

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2018
Spring balance weighing design is a model of an experiment in which the result can be presented as a linear combination of unknown measurements of objects with factors of this combination equalling zero or one. In this paper, we assume that the variances
Bronisław Ceranka, Małgorzata Graczyk
doaj   +1 more source

D-optimal experimental designs for linear multiple regression under heteroscedastic observations

open access: yesЖурнал Белорусского государственного университета: Математика, информатика, 2020
The problem of construction of «continuous» (number of observations is not fixed) and «exact» (number of observations is fixed) D-optimal experimental designs for linear multiple regression in the case when variance of errors of observations depends on ...
Valery P. Kirlitsa
doaj   +1 more source

D-optimal designs for multinomial logistic models [PDF]

open access: yesThe Annals of Statistics, 2020
We consider optimal designs for general multinomial logistic models, which cover baseline-category, cumulative, adjacent-categories, and continuation-ratio logit models, with proportional odds, non-proportional odds, or partial proportional odds assumption.
Bu, Xianwei, Majumdar, Dibyen, Yang, Jie
openaire   +4 more sources

D-optimal designs of experiments for trigonometric regression on interval with heteroscedastic observations

open access: yesЖурнал Белорусского государственного университета: Математика, информатика, 2020
In article the problem of construction continuous (number of observations is not fixed) D-optimal designs of experiments for trigonometric regression in a case when variance of errors of observations depend on a point in which is made is investigated ...
Valery P. Kirlitsa
doaj   +1 more source

Statistical Design of Experiments: An introductory case study for polymer composites manufacturing applications [PDF]

open access: yesMATEC Web of Conferences, 2021
Statistical design of experiments (DoE) aims to develop a near efficient design while minimising the number of experiments required. This is an optimal approach especially when there is a need to investigate multiple variables.
Botha Natasha   +3 more
doaj   +1 more source

D-Optimal Designs with Hadamard Matrix

open access: yesJournal of Mathematical Analysis and Applications, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chow, K.L., Lii, K.S.
openaire   +1 more source

Construction of symmetric paired choice experiments: minimising runs and maximising efficiency

open access: yesHumanities & Social Sciences Communications, 2023
Discrete choice experiments (DCEs) are popular in various fields such as health resources, marketing, transport, economics, and many others for identifying the factors that influence an individual’s choice behaviour.
Abdulrahman S. Alamri   +2 more
doaj   +1 more source

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