Results 51 to 60 of about 768,227 (181)
Optimal Designs for Generalized Pareto Model [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 The generalized Pareto model plays an important role in modelling extreme events. Hosking and Wallis (1987) discussed the parameter and quantile estimation for generalized Pareto distribution.
Poonam Singh, Ashok Kumar
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A Method for Augmenting Supersaturated Designs with Newly Added Factors
Mathematics, 2022 Follow-up experimental designs are popularly used in industry. In practice, some important factors may be neglected for various reasons in the first-stage experiment and they need to be added in the next stage.
Chun-Wei Zheng +3 more
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Some Properties of Multiresponse D-Optimal Designs
Journal of Mathematical Analysis and Applications, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
D-optimal Factorial Designs under Generalized Linear Models [PDF]
, 2013 Generalized linear models (GLMs) have been used widely for modelling the mean response both for discrete and continuous random variables with an emphasis on categorical response.
Mandal, Abhyuday, Yang, Jie
core
Weighted complex projective 2-designs from bases: optimal state determination by orthogonal measurements [PDF]
, 2007 We introduce the problem of constructing weighted complex projective 2-designs from the union of a family of orthonormal bases. If the weight remains constant across elements of the same basis, then such designs can be interpreted as generalizations of ...
A. J. Scott +13 more
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Optimal designs for enzyme inhibition kinetic models [PDF]
, 2017 In this paper we present a new method for determining optimal designs for enzyme inhibition kinetic models, which are used to model the influence of the concentration of a substrate and an inhibition on the velocity of a reaction.
Dette, Holger +3 more
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Optimal experimental designs for inverse quadratic regression models [PDF]
, 2007 In this paper optimal experimental designs for inverse quadratic regression models are determined. We consider two different parameterizations of the model and investigate local optimal designs with respect to the $c$-, $D$- and $E$-criteria, which ...
Christine Kiss +2 more
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Журнал Белорусского государственного университета: Математика, информатика, 2018 In article the problem of construction of exact D-optimal designs of experiments for linear multiple regression in a case when variance of errors of observations depend on a point in which is made is investigated. The class functions describing change of
Valery P. Kirlitsa
doaj
Optimal designs for active controlled dose finding trials with efficacy-toxicity outcomes [PDF]
, 2016 Nonlinear regression models addressing both efficacy and toxicity outcomes are increasingly used in dose-finding trials, such as in pharmaceutical drug development.
Bretz, Frank +4 more
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A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models [PDF]
, 2019 Finding Bayesian optimal designs for nonlinear models is a difficult task because the optimality criteriontypically requires us to evaluate complex integrals before we perform a constrained optimization.
Duarte, Belmiro P.M. +3 more
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