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  1. Consistent ridge estimation for replicated ultrastructural measurement error models
  2. Simultaneous prediction using target function based on principal components estimator with correlated errors
  3. Two‐parameter estimation for Tobit model: An application to national health and nutrition examination survey dataset
  4. Defining a two-parameter estimator: a mathematical programming evidence
  5. New activation functions for single layer feedforward neural network
  6. Tobit Liu estimation of censored regression model: an application to Mroz data and a Monte Carlo simulation study
  7. COMPARISONS OF SOME BIASED ESTIMATORS FOR LINEAR MEASUREMENT ERROR MODELS
  8. Comparing ordinary ridge and generalized ridge regression results obtained using genetic algorithms for ridge parameter selection
  9. Principal components estimator for measurement error models
  10. Liu estimation approach to the measurement error models
  11. Genetic Algorithms Applied to Fractional Polynomials for Power Selection: Application to Diabetes Data
  12. r-d Class Estimator Under Misspecification
  13. Modified and Restricted r-k Class Estimators
  14. On the Restricted Liu Estimator in the Logistic Regression Model
  15. Restricted Two Parameter Ridge Estimator
  16. Inequality constrained ridge regression estimator
  17. r − k Class estimator in the linear regression model with correlated errors
  18. Superiority of ther–kClass Estimator Over Some Estimators In A Linear Model