Results 11 to 20 of about 768,227 (181)
D-optimal Saturated Designs: A Simulation Study [PDF]
8 pages.
Fontana, Roberto +2 more
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REGULAR D-OPTIMAL SPRING BALANCE WEIGHING DESIGNS: CONSTRUCTION [PDF]
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
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D-optimal designs via a cocktail algorithm [PDF]
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
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Notes on D‑optimal Spring Balance Weighing Designs
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
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D-optimal experimental designs for linear multiple regression under heteroscedastic observations
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
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D-optimal designs for multinomial logistic models [PDF]
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
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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
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Statistical Design of Experiments: An introductory case study for polymer composites manufacturing applications [PDF]
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
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D-Optimal Designs with Hadamard Matrix
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chow, K.L., Lii, K.S.
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Construction of symmetric paired choice experiments: minimising runs and maximising efficiency
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
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