Optimal Designs
Slope Optimal Designs for Third Degree Kronecker Model Mixture Experiments
... Optimal designs are experimental designs that are generated based on a particular optimality criterion and are generally optimal only for a specific statistical ...of designs are ...
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Active Learning of Causal Networks with Intervention Experiments and Optimal Designs
... In this section, we use two experiments to evaluate the active learning approach and the optimal designs via simulations. In the first experiment, we evaluate a whole process of structural learning and ...
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The Construction of Locally D Optimal Designs by Canonical Forms to an Extension for the Logistic Model
... (2) being m the number of parameters and i j the elements of S 2n , the symmetrical group of 2n -order permutations. We focus the study to calculate optimal designs to a small size of observations, two and ...
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Numerical construction of parameter maximin D optimal designs for binary response models
... For the logistic regression model the efficiencies taken from Table 8 are quite high, so that for moderate regions Θ it seems sufficient to use the corresponding maximin D-optimal two point design provided that ...
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Particle swarm based algorithms for finding locally and Bayesian D-optimal designs
... find optimal designs for high-dimensional and Bayesian models; and 2) the creation of online tools for practitioners to generate different types of tailor made optimal designs for their prob- ...
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Optimal Designs Technique for Locating the Optimum of a Second Order Response Function
... near optimal settings within the optimal ...of optimal designs of ...of optimal designs of experiment where the step length is obtained by taking the derivative of the response ...
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Optimal designs for testing the functional form of a regression via nonparametric estimation techniques
... This follows readily by a standard result of approximation theory in Hilbert spaces [see e.g. Achieser (1956), p. 15]. For the constant weight function (in other words: for the homosce- dastic regression model with ...
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Maximin optimal designs for a compartmental model
... determine optimal designs, which are robust against misspecifications of the unknown model ...provide designs that are optimal with respect to the particular choice of various parameter ...
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On Optimal Designs of Some Censoring Schemes
... on optimal scheme, equivalence of schemes based on Shannon and Awad sup-entropy measures, the conjecture that the optimal scheme is one stage scheme, and a conjecture by Cramer and Bagh (2011) about Shannon ...
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Optimal Designs to Develop and Support an Experimental Strategy on Innovation of Thermoforming Production Process
... is optimal design to avoid problems with non-cuboidal regions (Anderson and Whitcomb, ...an optimal fac- torial design (Draper and Pukelsheim, 1996; Johnson et ...
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A Discrete Fourier Transform Approach Searching for Compatible Sequences and Optimal Designs
... In this paper, we proposed a new evaluation of the DFT that reduces the computational effort. This evaluation can be used in searching for sequences with zero autocorre- lation function. It is applicable to sequences ...
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Constructing model robust mixture designs via weighted G-optimality criterion Pages 473-490 Download PDF
... exact designs appear to have model robustness because our designs start with small values of the SPV and remain relatively flat throughout the design space across a set of possible reduced ...exact ...
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Optimal cross over designs for full interaction models
... an optimal symmetric design should satisfy two contradictory conditions: for accurate estimation of total effects, each treatment should be preceded by itself a large number of times; while, for efficiency in ...
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Construction of Weighted Second Order Rotatable Simplex Designs (Wrsd)
... Optimal designs are experimental designs that are generated based on a particular optimality criterion and are generally optimal only for a specific statistical ...
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A DEA-bases Approach for Multi-objective Design of Attribute Acceptance Sampling Plans
... Acceptance sampling (AS), as one of the main fields of statistical quality control (SQC), involves a system of principles and methods to make decisions about accepting or rejecting a lot or sample. For attributes, the ...
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A combinatorial procedure for constructing D-optimal exact designs
... constructing optimal N-point exact designs for response sur- faces is one that has received research attention over the last half ...determine optimal designs algebraically; see, ...
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Optimal Two-stage designs in Phase-II Clinical Trials.
... adaptive designs, we considered those designs for which the type I error and type II error is less than or equal to ...weighted optimal design performs fairly well with respect to expected sample ...
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Optimal Allocation in Designs for Assessing Heterosis From cDNA Gene Expression Data
... Efficient designs in this context are the reference design, the loop design, and balanced block designs (D obbin and S imon 2002; K err 2003; D obbin et ...of optimal designs revolves around ...
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Optimal Slope Designs for Second Degree Kronecker Model Mixture Experiments
... some optimal slope mixture designs in the second degree Kronecker model for mixture ...centroid designs, with the second degree Kronecker ...of optimal designs for the various ...
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Simulation-Based Bayesian Experimental Design using Mutual Information.
... D- optimal points from local D-optimal designs centered at maximum likelihood estimates could converge to a D-optimal ...Such designs have good properties: asymptotic efficiency, ...
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