scientific article; zbMATH DE number 3411979
From MaRDI portal
Publication:5676896
zbMath0261.62002MaRDI QIDQ5676896
Publication date: 1971
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Optimal statistical designs (62K05) Sequential statistical methods (62L99) Research exposition (monographs, survey articles) pertaining to statistics (62-02)
Related Items (34)
\(G\)-optimal designs for multi-factor experiments with heteroscedastic errors ⋮ Marginally restricted linear-optimal designs ⋮ Time-domain optimization of input signals for distributed-parameter systems identification ⋮ Optimal discrimination designs ⋮ Bayesian D-optimal designs for exponential regression models ⋮ Maxmin subject to marginal constraints ⋮ Weighted minimal contrast estimates and simulation problems ⋮ On the design of experiments in the presence of fixed covariates ⋮ Equivalence theorem for singular \(L\)-optimal designs ⋮ Algorithms to construct a minimum-volume invariant ellipsoid for a stable dynamic system ⋮ On \(G\)-efficiency calculation for polynomial models ⋮ Asymptotic optimal designs under long-range dependence error structure ⋮ Optimal designs for random effect models with correlated errors with applications in population pharmacokinetics ⋮ Balanced incomplete blocks versus optimal planes ⋮ Approximate dynamic programming and its applications to the design of Phase I cancer trials ⋮ Gustav Elfving's contribution to the emergence of the optimal experimental design theory. ⋮ Unnamed Item ⋮ Compromise designs in heteroscedastic linear models ⋮ Monotonic convergence of a general algorithm for computing optimal designs ⋮ Frequency domain approach for designing sampling rates for system identification ⋮ Optimal experimental design in econometrics. The time series problem ⋮ Optimal designs for the identification of the order of a Fourier regression ⋮ Optimisation in space of measures and optimal design ⋮ A clustering-based coordinate exchange algorithm for generating G-optimal experimental designs ⋮ Constructing Efficient Experimental Designs for Generalized Linear Models ⋮ Representations and test planning methods for complex technical systems ⋮ A method to find the minimax of functionals dependent on probability measures ⋮ Methods of finding optimal submeasures (characterization of solutions) ⋮ Optimal designs for rational models and weighted polynomial regression ⋮ Methods of finding optimal submeasures (characterization of solutions) ⋮ Spatial sampling design and covariance-robust minimax prediction based on convex design ideas ⋮ Applications of semidefinite programming ⋮ Optimum designs for estimating \(ED_p\) based on raw optical density data ⋮ Computing A-optimal and E-optimal designs for regression models via semidefinite programming
This page was built for publication: