Pages that link to "Item:Q1948373"
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The following pages link to Design of experiments in nonlinear models. Asymptotic normality, optimality criteria and small-sample properties (Q1948373):
Displaying 50 items.
- Algorithmic construction of optimal designs on compact sets for concave and differentiable criteria (Q460659) (← links)
- Optimum design accounting for the global nonlinear behavior of the model (Q464189) (← links)
- D-optimal designs based on the second-order least squares estimator (Q513688) (← links)
- Barycentric algorithm for computing D-optimal size- and cost-constrained designs of experiments (Q513974) (← links)
- Ascent with quadratic assistance for the construction of exact experimental designs (Q782649) (← links)
- Bayesian optimal design for non-linear model under non-regularity condition (Q826730) (← links)
- Sequential online subsampling for thinning experimental designs (Q830692) (← links)
- Removing inessential points in \(c\)-and \(A\)-optimal design (Q830728) (← links)
- The effects of adaptation on maximum likelihood inference for nonlinear models with normal errors (Q830758) (← links)
- Convex optimization of measurement allocation for magnetic tracking systems (Q1642986) (← links)
- Quasi-Newton algorithm for optimal approximate linear regression design: optimization in matrix space (Q1644428) (← links)
- Convex relaxation for IMSE optimal design in random-field models (Q1658175) (← links)
- An algorithm based on semidefinite programming for finding minimax optimal designs (Q1662093) (← links)
- Removal of the points that do not support an \(E\)-optimal experimental design (Q1726897) (← links)
- On greedy heuristics for computing D-efficient saturated subsets (Q1984679) (← links)
- Measures minimizing regularized dispersion (Q1999876) (← links)
- Construction of constrained experimental designs on finite spaces for a modified \(\mathrm{E}_k\)-optimality criterion (Q2023572) (← links)
- Optimal experimental design for linear time invariant state-space models (Q2058773) (← links)
- Optimal design of multifactor experiments via grid exploration (Q2058892) (← links)
- Optimal sensor placement for joint parameter and state estimation problems in large-scale dynamical systems with applications to thermo-mechanics (Q2071419) (← links)
- Equivariance and invariance for optimal designs in generalized linear models exemplified by a class of gamma models (Q2074640) (← links)
- COVID-19: optimal design of serosurveys for disease burden estimation (Q2091315) (← links)
- Performance analysis of greedy algorithms for minimising a maximum mean discrepancy (Q2104022) (← links)
- A convex approach to optimum design of experiments with correlated observations (Q2106776) (← links)
- A new monotonic algorithm for the \(E\)-optimal experiment design problem (Q2244437) (← links)
- Equivalence of weighted and partial optimality of experimental designs (Q2312035) (← links)
- Design of experiments for a confirmatory trial of precision medicine (Q2317250) (← links)
- Optimal designs for Poisson count data with gamma block effects (Q2317344) (← links)
- Optimal design of experiments via linear programming (Q2374424) (← links)
- Extremal measures maximizing functionals based on simplicial volumes (Q2374436) (← links)
- Adaptive designs for drug combination informed by longitudinal model for the response (Q2423165) (← links)
- Bregman divergences based on optimal design criteria and simplicial measures of dispersion (Q2423177) (← links)
- On proportional volume sampling for experimental design in general spaces (Q2677908) (← links)
- Two-stage Adaptive Designs in Nonlinear Mixed Effects Models: Application to Pharmacokinetics in Children (Q2816677) (← links)
- Optimal design for nonlinear response models (Q2840666) (← links)
- Characterization of <i>c</i>-, <i>L</i>- and <i>ϕ</i> <i>k</i>-optimal Designs for a Class of Non-Linear Multiple-Regression Models (Q3120102) (← links)
- A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments (Q3304857) (← links)
- Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation (Q3386414) (← links)
- Asymptotic Normality of Nonlinear Least Squares under Singular Experimental Designs (Q3567634) (← links)
- Optimal Quadrature-Sparsification for Integral Operator Approximation (Q4553791) (← links)
- Optimum Experimental Design by Shape Optimization of Specimens in Linear Elasticity (Q4577213) (← links)
- On the elimination of inessential points in the smallest enclosing ball problem (Q4622883) (← links)
- Construction of efficient experimental designs under multiple resource constraints (Q4628716) (← links)
- Technical Note—Joint Learning and Optimization of Multi-Product Pricing with Finite Resource Capacity and Unknown Demand Parameters (Q4994175) (← links)
- Linear convergence of accelerated conditional gradient algorithms in spaces of measures (Q4999535) (← links)
- Quantum-state estimation problem via optimal design of experiments (Q5037884) (← links)
- Incorporating Minimum Variances into Weighted Optimality Criteria (Q5050837) (← links)
- Nuisance parameter problem in quantum estimation theory: tradeoff relation and qubit examples (Q5059824) (← links)
- Fenchel Duality and a Separation Theorem on Hadamard Manifolds (Q5080506) (← links)
- Optimal Experimental Design for Inverse Problems in the Presence of Observation Correlations (Q5101014) (← links)
