Pages that link to "Item:Q2467491"
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The following pages link to An improved bias-compensation approach for errors-in-variables model identification (Q2467491):
Displaying 19 items.
- Errors-in-variables system identification using structural equation modeling (Q254591) (← links)
- New consistent methods for order and coefficient estimation of continuous-time errors-in-variables fractional models (Q316136) (← links)
- Assessing large sample bias in misspecified model scenarios with reference to exposure model misspecification in errors-in-variable regression: a new computational approach (Q619781) (← links)
- Statistical identification with error balancing (Q677401) (← links)
- Unifying some higher-order statistic-based methods for errors-in-variables model identification (Q963795) (← links)
- Vector attenuation bias in the classical errors-in-variables model (Q1352219) (← links)
- Recursive identification for dynamic linear systems from noisy input-output measurements (Q2375494) (← links)
- The Frisch scheme in multivariable errors-in-variables identification (Q2411495) (← links)
- Explicit expression of the parameter bias in identification of Laguerre models from step responses (Q2503614) (← links)
- Bias-compensation-based least-squares estimation with a forgetting factor for output error models with white noise (Q2798500) (← links)
- Bias-eliminating least-squares identification of errors-in-variables models with mutually correlated noises (Q2868151) (← links)
- Parameter consistency and quadratically constrained errors-in-variables least-squares identification (Q3577888) (← links)
- (Q4623933) (← links)
- Bias compensation‐based parameter estimation for output error moving average systems (Q4908490) (← links)
- A Simplified Form of the Bias-Eliminating Least Squares Method for Errors-in-Variables Identification (Q5282248) (← links)
- A generalised instrumental variable estimator for multivariable errors-in-variables identification problems (Q5745576) (← links)
- <i>L</i><sub>2</sub>-optimal identification of MIMO errors-in-variables models from the v-gap geometrical interpretation (Q5745591) (← links)
- Errors-in-variables methods in system identification (Q5920466) (← links)
- Parameter Identification and Forecast with a Biased Model (Q6095026) (← links)
