Pages that link to "Item:Q5696345"
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The following pages link to Bayesian and maximin optimal designs for heteroscedastic regression models (Q5696345):
Displaying 16 items.
- V-optimal designs for heteroscedastic regression (Q393546) (← links)
- A computational algorithm for selecting robust designs in safety and quality critical processes (Q641802) (← links)
- Designs for weighted least squares regression, with estimated weights (Q746287) (← links)
- Optimal minimax designs over a prespecified interval in a heteroscedastic polynomial model (Q947200) (← links)
- Robust designs for misspecified logistic models (Q953833) (← links)
- Bayesian optimal designs for linear regression models (Q1184231) (← links)
- Compromise designs in heteroscedastic linear models (Q1200664) (← links)
- Maximin designs for exponential growth models and heteroscedastic polynomial models (Q1848872) (← links)
- Locally D-optimal designs for multistage models and heteroscedastic polynomial regression models (Q2500656) (← links)
- A general approach to \(D\)-optimal designs for weighted univariate polynomial regression models (Q2510912) (← links)
- Bayesian D-optimal designs on a fixed number of design points for heteroscedastic polynomial models (Q4236514) (← links)
- (Q4247169) (← links)
- Robustness properties of minimally-supported Bayesian D-optimal designs for heteroscedastic models (Q4546738) (← links)
- Some robust design strategies for percentile estimation in binary response models (Q5295955) (← links)
- Bayesian and maximin optimal designs for heteroscedastic multi-factor regression models (Q6201373) (← links)
- Bayesian Φ <sub> <i>q</i> </sub> -optimal designs for multi-factor additive non linear models with heteroscedastic errors (Q6641353) (← links)
