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Optimal Experimental Design A Concise Introduction for Researchers
This textbook provides a concise introduction to optimal experimental design and efficiently prepares the reader for research in the area. It...
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Implementation of the sequential optimal design strategy in Type-II progressive censoring with the GLM-based mechanism
Single-objective optimal designs might be criticized for not covering all aspects of the experiment when the experiment possesses multiple goals. In...
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Robust Optimal Design When Missing Data Happen at Random
In this article, we investigate the robust optimal design problem for the prediction of response when the fitted regression models are only...
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Optimal subsampling design for polynomial regression in one covariate
Improvements in technology lead to increasing availability of large data sets which makes the need for data reduction and informative subsamples ever...
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A p-step-ahead sequential adaptive algorithm for D-optimal nonlinear regression design
Under a nonlinear regression model with univariate response an algorithm for the generation of sequential adaptive designs is studied. At each stage,...
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Optimal Design Theory for Linear Models
This chapter establishes the theory for linear models, concepts, and results, and provides the most important techniques to do research in this area...
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Optimal two-stage spatial sampling design for estimating critical parameters of SARS-CoV-2 epidemic: Efficiency versus feasibility
The COVID-19 pandemic presents an unprecedented clinical and healthcare challenge for the many medical researchers who are attempting to prevent its...
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COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation
We provide a methodology by which an epidemiologist may arrive at an optimal design for a survey whose goal is to estimate the disease burden in a...
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Optimal design of multifactor experiments via grid exploration
We propose an algorithm for computing efficient approximate experimental designs that can be applied in the case of very large grid-like design...
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Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union tests
We find experimental plans for hypothesis testing when a prior ordering of experimental groups or treatments is expected. Despite the practical...
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Bayesian Optimal Designs
This chapter provides a thorough revision of Bayesian optimal design, which has not been considered much in introductory books like this one. Linear...
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A branch-and-bound algorithm for the exact optimal experimental design problem
We discuss a generalisation of the approximate optimal experimental design problem, in which the weight of each regression point needs to stay in a...
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Bayesian and maximin A-optimal designs for spline regression models with unknown knots
Optimal designs for spline regression models with multiple unknown knots are investigated using A-optimality, Bayesian and maximin criteria. Locally...
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Robust optimal designs using a model misspecification term
Much of classical optimal design theory relies on specifying a model with only a small number of parameters. In many applications, such models will...
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Construction of optimal designs for quantile regression model via particle swarm optimization
As an extension of mean regression and being robust against outliers, quantile regression has been used in many fields such as biomedicine, ecology,...
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Optimal designs for comparing several regression curves
This article is concerned with the optimal design problem of efficient statistical inference for comparing several regression curves estimated from...
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Optimal experimental design for linear time invariant state–space models
The linear time invariant state–space model representation is common to systems from several areas ranging from engineering to biochemistry. We...
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Accounting for outliers in optimal subsampling methods
Nowadays, in many different fields, massive data are available and for several reasons, it might be convenient to analyze just a subset of the data....
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Locally optimal designs for comparing curves in generalized linear models
This article is concerned with the optimal design problem of efficient statistical inference for comparing regression mean curves in two generalized...
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A-optimal designs for state estimation in networks
We consider two models for estimating the expected states of nodes in networks where the observations at nodes are given by random states and...
