Editorial: Special issue on algorithms for design of experiments

Bayesian D-optimal designs for the two parameter logistic mixed effects model

Computational Statistics & Data Analysis

Experimental designs for drug combination studies

Computational Statistics & Data Analysis

'Nearly' universally optimal designs for models with correlated observations

Computational Statistics & Data Analysis

Optimal design for correlated processes with input-dependent noise

Computational Statistics & Data Analysis

A class of composite designs for response surface methodology

Computational Statistics & Data Analysis

An efficient procedure for the avoidance of disconnected incomplete block designs

Computational Statistics & Data Analysis

Augmenting supersaturated designs with Bayesian D-optimality

Computational Statistics & Data Analysis

Construction of experimental designs for estimating variance components

Computational Statistics & Data Analysis

Optimal designed experiments using a Pareto front search for focused preference of multiple objectives

Computational Statistics & Data Analysis

Algorithms for approximate linear regression design with application to a first order model with heteroscedasticity

Computational Statistics & Data Analysis

A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments

Computational Statistics & Data Analysis

Integral approximations for computing optimum designs in random effects logistic regression models

Computational Statistics & Data Analysis

Computing efficient exact designs of experiments using integer quadratic programming

Computational Statistics & Data Analysis