Pages that link to "Item:Q1903883"
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The following pages link to Linear models. Least squares and alternatives (Q1903883):
Displaying 37 items.
- A Simulation Study on Some Restricted Ridge Regression Estimators (Q4921604) (← links)
- Estimation in a linear regression model with stochastic linear restrictions: a new two-parameter-weighted mixed estimator (Q4960635) (← links)
- Predictive efficiency of ridge regression estimator (Q4987693) (← links)
- Regression credibility estimator with two-level common effects (Q5079455) (← links)
- Stochastic restricted Liu predictors in linear mixed models (Q5082722) (← links)
- Risk performance of some shrinkage estimators (Q5083983) (← links)
- On the performance of the poisson and the negative binomial ridge predictors (Q5084952) (← links)
- Principal component ridge type estimator for the inverse Gaussian regression model (Q5086088) (← links)
- A new stochastic restricted Liu-type estimator in linear regression model (Q5086137) (← links)
- The feasible generalized restricted ridge regression estimator (Q5106816) (← links)
- The Almon two parameter estimator for the distributed lag models (Q5106823) (← links)
- On ridge parameter estimators under stochastic subspace hypothesis (Q5106833) (← links)
- On the restricted almost unbiased estimators in linear regression (Q5124786) (← links)
- Performance of the difference-based estimators in partially linear models (Q5299481) (← links)
- More on the restricted ridge regression estimation (Q5300745) (← links)
- Principal components regression estimator and a test for the restrictions (Q5400797) (← links)
- Estimation in Singular Linear Models with Stochastic Linear Restrictions (Q5421547) (← links)
- Ridge Estimation to the Restricted Linear Model (Q5421561) (← links)
- Ausgleichsverfahren für Kopfschaden: Bemerkungen zu einer Arbeit von Siegel (Q5422775) (← links)
- The Restricted and Unrestricted Two-Parameter Estimators (Q5438328) (← links)
- The Research on Two Kinds of Restricted Biased Estimators Based on Mean Squared Error Matrix (Q5450536) (← links)
- Improvement of mixed predictors in linear mixed models (Q5861574) (← links)
- A new kind of stochastic restricted biased estimator for logistic regression model (Q5861592) (← links)
- Strong consistency of M-estimates in linear models (Q5920635) (← links)
- Constructing a monotonic quadratic objective function in \(n\) variables from a few two-dimensional indifferences. (Q5932041) (← links)
- Double \(k\)-class estimators in regression models with non-spherical disturbances (Q5960849) (← links)
- Developed first-order approximated estimators for the gamma distributed response variable (Q6074125) (← links)
- Credibility estimators with dependence structure over risks and time under balanced loss function (Q6089169) (← links)
- A minimum matrix valued risk estimator combining restricted and ordinary least squares estimators (Q6107591) (← links)
- Efficiency of a generalized difference-based weighted mixed ridge estimator in partially linear model (Q6114244) (← links)
- A generalized difference-based mixed two-parameter estimator in partially linear model (Q6164683) (← links)
- Robustness of orthogonal uniform composite designs against outlier (Q6562725) (← links)
- Alleviating conditional independence assumption of naive Bayes (Q6581299) (← links)
- Kernel mixed and Kernel stochastic restricted ridge predictions in the partially linear mixed measurement error models: an application to COVID-19 (Q6604251) (← links)
- On the asymptotic risk of ridge regression with many predictors (Q6623995) (← links)
- Testing practical relevance of treatment effects (Q6640083) (← links)
- Multiple observers ranked set samples for shrinkage estimators (Q6662595) (← links)