D-optimal designs for multi-response linear mixed models
Sign Up to like & getrecommendations! Published in 2019 at "Metrika"
DOI: 10.1007/s00184-018-0679-7
Abstract: Linear mixed models have become popular in many statistical applications during recent years. However design issues for multi-response linear mixed models are rarely discussed. The main purpose of this paper is to investigate D-optimal designs… read more here.
Keywords: multi response; mixed models; response linear; linear mixed ... See more keywords
Properties of optimal regression designs under the second-order least squares estimator
Sign Up to like & getrecommendations! Published in 2019 at "Statistical Papers"
DOI: 10.1007/s00362-018-01076-6
Abstract: We investigate properties of optimal designs under the second-order least squares estimator (SLSE) for linear and nonlinear regression models. First we derive equivalence theorems for optimal designs under the SLSE. We then obtain the number… read more here.
Keywords: regression; optimal designs; properties optimal; designs second ... See more keywords
Optimal designs for a linear-model compositional response
Sign Up to like & getrecommendations! Published in 2019 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-019-01755-2
Abstract: Compositional data play an important role in many disciplines, when the interest is in studying not the total amount but the relative importance or frequency of the involved variables. Due to these proportion/sum constraints, the… read more here.
Keywords: linear model; compositional response; designs linear; model compositional ... See more keywords
Adaptive grid semidefinite programming for finding optimal designs
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DOI: 10.1007/s11222-017-9741-y
Abstract: We find optimal designs for linear models using a novel algorithm that iteratively combines a semidefinite programming (SDP) approach with adaptive grid techniques. The proposed algorithm is also adapted to find locally optimal designs for… read more here.
Keywords: semidefinite programming; find optimal; adaptive grid; proposed algorithm ... See more keywords
Efficient construction of Bayes optimal designs for stochastic process models
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DOI: 10.1007/s11222-018-9833-3
Abstract: Stochastic process models are now commonly used to analyse complex biological, ecological and industrial systems. Increasingly there is a need to deliver accurate estimates of model parameters and assess model fit by optimizing the timing… read more here.
Keywords: process models; stochastic process; bayes optimal; designs stochastic ... See more keywords
Optimal Designs for Step-Stress Models Under Interval Censoring
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Theory and Practice"
DOI: 10.1007/s42519-019-0055-6
Abstract: This article proposes new approaches for optimal planning of step-stress accelerated life testing models. The experiment considered is time constrained with the tested items not monitored continuously but inspected at particular time points instead. The… read more here.
Keywords: step; optimal designs; step stress; inspection points ... See more keywords
Locally D-optimal Designs for Binary Responses in the Presence of Factorial Effects
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Theory and Practice"
DOI: 10.1007/s42519-020-0085-0
Abstract: We consider the problem of finding D-optimal designs for certain generalized linear models (GLMs). In particular, we study GLMs with factorial effects and one continuous covariate. The factorial effects include both main effects and interactions,… read more here.
Keywords: responses presence; binary responses; designs binary; locally optimal ... See more keywords
Optimal designs for Antoine Equation
Sign Up to like & getrecommendations! Published in 2021 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2021.104334
Abstract: Abstract Vapor pressure is a temperature-dependent characteristic of pure liquids, and also of their mixtures. This thermodynamic property can be characterized through a wide range of models. Antoine Equation stands out among them for its… read more here.
Keywords: antoine equation; optimal designs; designs antoine; equation ... See more keywords
De novo composite design based on machine learning algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Extreme Mechanics Letters"
DOI: 10.1016/j.eml.2017.10.001
Abstract: Abstract Composites are widely used to create tunable materials to achieve superior mechanical properties. Brittle materials fail catastrophically in the presence of cracks. Incorporating softer constituents into brittle materials can alleviate stress concentration, leading to… read more here.
Keywords: machine; machine learning; novo composite; composite design ... See more keywords
D-optimal designs for the two-variable binary logistic regression model with interaction
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DOI: 10.1016/j.jspi.2017.08.007
Abstract: Abstract The analytical construction of optimal designs for generalized linear models with interaction between the explanatory variables is challenging and the optimal designs reported in the statistical literature for such models are invariably constructed numerically.… read more here.
Keywords: two variable; variable binary; binary logistic; model ... See more keywords
Locally optimal designs for gamma models
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2019.04.002
Abstract: Abstract Gamma models with a power link function are considered constituting a particular class of Generalized Linear Models. Relevant structures for the linear predictor are employed covering the common models studied in the literature. One… read more here.
Keywords: designs gamma; optimal designs; gamma models; locally optimal ... See more keywords