Pages that link to "Item:Q820204"
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The following pages link to Estimation of regression coefficients subject to exact linear restrictions when some observations are missing and quadratic error balanced loss function is used (Q820204):
Displaying 12 items.
- Bayesian and robust Bayesian analysis under a general class of balanced loss functions (Q434398) (← links)
- The optimal extended balanced loss function estimators (Q1789689) (← links)
- Use of minimum risk approach in the estimation of regression models with missing observations (Q1865234) (← links)
- Risk and Pitman closeness properties of feasible generalized double \(k\)-class estimators in linear regression models with non-spherical disturbances under balanced loss function (Q1882938) (← links)
- \(\Phi\) admissibility of stochastic regression coefficients in a general multivariate random effects model under a generalized balanced loss function (Q1950901) (← links)
- Admissibility of linear estimators of the common mean parameter in general linear models under a balanced loss function (Q2374412) (← links)
- Use of prior information in the form of interval constraints for the improved estimation of linear regression models with some missing responses (Q2495819) (← links)
- Linearly admissible estimators of mean vector with respect to balanced loss function in multivariate statistics (Q2807751) (← links)
- Ridge regression methodology in partial linear models with correlated errors (Q3019806) (← links)
- A note on Stein-type shrinkage estimator in partial linear models (Q3143498) (← links)
- Stein-rule estimation under an extended balanced loss function (Q3401439) (← links)
- Computations of predictors/estimators under a linear random-effects model with parameter restrictions (Q5866089) (← links)