New criteria for robust integer-valued designs in linear models - Adewale, Adeniyi J.; Wiens, Douglas P. (Computational statistics & data analysis, 2006)
Keywords: Bias-constrained; Contamination; D-optimal design; Exact sciences and technology; Experimental design; Finite design space; General topics; Mathematics; Minave design; Misspecification; Multivariate analysis; Numerical analysis; Numerical analysis. Scientific computation; Numerical methods in probability and statistics; Polynomial regression; Probability and statistics; Sciences and techniques of general use; Simulated annealing; Statistics; Finite design space; Minave design; Primary 62K05; Bias-constrained; Misspecification; Simulated annealing; D-optimal design; 62F35; secondary 62J05; Contamination; Polynomial regression; Error estimation; Bias; Estimator robustness; Robust estimation; Cluster model; Linear model; Variance; Primary 62K05; 62F35; secondary 62J05; Misspecification model; Bad specification; Data analysis; Approximation; Linear regression; Prediction; Mean estimation; Heteroscedasticity; Integer; Statistical regression; Extrapolation; Statistical computation; Regression model; Experimental design; Bias-constrained; Contamination; D-optimal design; Finite design space; Minave design; Misspecification; Polynomial regression; Simulated annealing; Mean error; Biased estimation