Pages that link to "Item:Q916278"
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The following pages link to Qualitative and quantitative experiment design for phenomenological models - a survey (Q916278):
Displaying 27 items.
- System identification of complex and structured systems (Q468318) (← links)
- A fast algorithm to assess local structural identifiability (Q895273) (← links)
- Identifiability results for several classes of linear compartment models (Q901931) (← links)
- Incorporating prior parameter uncertainty in the design of sampling schedules for pharmacokinetic parameter estimation experiments (Q913435) (← links)
- Maximum a posteriori estimation of activation energies that control silicon self-diffusion (Q999024) (← links)
- Decomposition-based qualitative experiment design algorithms for a class of compartmental models (Q1194460) (← links)
- Nonlinear experimental design based on the distribution of estimators (Q1205477) (← links)
- On global identifiability for arbitrary model parametrizations (Q1317179) (← links)
- Experimental design for estimating the optimum point in a response surface (Q1321572) (← links)
- Stochastic optimization algorithms of a Bayesian design criterion for Bayesian parameter estimation of nonlinear regression models: Application in pharmacokinetics (Q1366975) (← links)
- Design of experiments (Q1389048) (← links)
- Identifiability and distinguishability concepts in electrochemistry (Q1923016) (← links)
- Learning equations from biological data with limited time samples (Q2202056) (← links)
- Optimal design of dilution experiments under volume constraints (Q2363722) (← links)
- On the identifiability and distinguishability of nonlinear parametric models (Q2364913) (← links)
- A global parallel model based design of experiments method to minimize model output uncer\-tainty (Q2429426) (← links)
- Closed loop experiment design for linear time invariant dynamical systems via LMIs (Q2440643) (← links)
- Experiment selection for the discrimination of semi-quantitative models of dynamical systems (Q2457637) (← links)
- On sufficient conditions of the injectivity: Development of a numerical test algorithm via interval analysis (Q2460291) (← links)
- Sensor network design for the estimation of spatially distributed processes (Q3053678) (← links)
- Design of follow-up experiments for improving model discrimination and parameter estimation (Q4651735) (← links)
- A method for biomedical system modelling and physiological parameter estimation using indirectly measured input functions (Q4841416) (← links)
- An efficient method to estimate sorption isotherm curve coefficients (Q4990724) (← links)
- Moment-Based Methods for Parameter Inference and Experiment Design for Stochastic Biochemical Reaction Networks (Q5270730) (← links)
- On Stochastic Representation of Blow-Ups for Distributed Parameter Systems (Q5274935) (← links)
- Control-relevant experiment design for multivariable systems described by expansions in orthonormal bases (Q5926176) (← links)
- Evolving improved sampling protocols for dose-response modelling using genetic algorithms with a profile-likelihood metric (Q6540670) (← links)
