Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Belmiro P.M. Duarte"'
Publikováno v:
Contemporary Clinical Trials Communications, Vol 33, Iss , Pp 101140- (2023)
The paper studies randomization rules for a sequential two-treatment, two-site clinical trial in Parkinson’s disease. An important feature is that we have values of responses and five potential prognostic factors from a sample of 144 patients simil
Externí odkaz:
https://doaj.org/article/00f41c80b4004e5399adae58bda04649
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. :104874
Publikováno v:
Journal of Process Control. 83:88-101
The optimal design of experiments for the parameters of the differential equations arising in many kinetic and pharmacodynamic models requires the numerical maximization of a function of the numerical solutions of sets of differential equations, the
Autor:
Belmiro P.M. Duarte, José F.O. Granjo
Publikováno v:
Journal of Statistical Computation and Simulation. 89:3313-3329
The design of double acceptance sampling (AS) plans for attributes based on the operating characteristic curve paradigm is usually addressed by enumeration algorithms. These AS plans may be...
Autor:
Weng Kee Wong, Belmiro P.M. Duarte
Publikováno v:
Biometrics. 75:572-581
Lot Quality Assurance Sampling (LQAS) plans are widely used for health monitoring purposes. We propose a systematic approach to design multiple-objective LQAS plans that meet user-specified type 1 and 2 error rates and targets for selected diagnostic
Publikováno v:
Statistics and Computing. 30:93-112
Optimal exact designs are problematic to find and study because there is no unified theory for determining them and studying their properties. Each has its own challenges and when a method exists to confirm the design optimality, it is invariably app
Autor:
Belmiro P.M. Duarte, Guillaume Sagnol
Publikováno v:
Statistical Papers. 61:2737-2767
Model-based optimal designs of experiments (M-bODE) for nonlinear models are typically hard to compute. The literature on the computation of M-bODE for nonlinear models when the covariates are categorical variables, i.e. factorial experiments, is sca
Publikováno v:
Optimization and Engineering. 20:725-748
We consider the dependence on the measurement schedule of optimal experiments for kinetic parameters when the rates are temperature-dependent and follow the Arrhenius law. We compare three different approaches using the D-optimality criterion: (1) a
Autor:
Belmiro P.M. Duarte
Publikováno v:
Operations Research for Health Care. 19:175-184
Design strategies using Bayesian-Lot Quality Assurance Sampling (B-LQAS) monitoring plans for vaccination coverage and disease eradication typically assume a model with prior information of the parameters. One of the goals B-LQAS plans is finding the
Publikováno v:
Processes
Volume 9
Issue 1
Processes, Vol 9, Iss 101, p 101 (2021)
Volume 9
Issue 1
Processes, Vol 9, Iss 101, p 101 (2021)
The problem of finding optimal production and inventory policies is crucial for companies of the food industry, especially those processing multiple products. Since companies are required to adopt the most efficient solutions to prosper, the operatio