Small sample properties of random coefficient regression estimators: a monte carlo simulation
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Publication:4019338
DOI10.1080/03610919308813010zbMath0850.62870OpenAlexW2016968069MaRDI QIDQ4019338
Publication date: 16 January 1993
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610919308813010
Applications of statistics to economics (62P20) Point estimation (62F10) Monte Carlo methods (65C05)
Related Items (2)
Misspecification in random coefficient regression models: A Monte Carlo simulation ⋮ A Comparison of Noniterative Generalized Least Squares and Iterative Maximum Likelihood Estimators When Testing Hypotheses in Random Coefficient Growth Curve Models
Cites Work
- Unnamed Item
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- Estimation in a linear regression model with censored data
- Consistency results for linear regression with censored data
- Estimating regression parameters using linear rank tests for censored data
- Regression analysis with randomly right-censored data
- Large sample theory of a modified Buckley-James estimator for regression analysis with censored data
- On estimating equations with censored data
- Linear Models, Random Censoring and Synthetic Data
- ASYMPTOTIC PROPERTIES OF LINEAR REGRESSION ESTIMATORS UNDER A FIXED CENSORSHIP MODEL
- Linear regression with censored data
- Regression with censored data
- Extending M-estimation to include censored data via james's method
- Prediction of survival probability based on a linear regression model
- Least squares regression with censored data
- Fitting linear regression models to censored data by least squares and maximum likelihood methods
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