Identification and estimation of nonlinear models using two samples with nonclassical measurement errors

Mathematics

• Asymptotic Normality 12%
• Conditional Distribution 12%
• Covariate 75%
• Dependent Variable 25%
• Efficiency 12%
• Estimated Standard Error 12%
• Independence 12%
• Maximum Likelihood Estimation 12%
• Measurement Error 100%
• Misspecification 12%
• Monte Carlo Simulation 12%
• Nonlinear 12%
• Nonlinear Model 100%
• Nonlinear Regression Model 12%
• Parameters 12%
• Roots 12%
• Samples 100%
• Variables 25%

Economics, Econometrics and Finance

• Consistency 50%
• Efficiency 50%
• Errors-in-Variables Model 50%
• Instrumental Variables 50%
• Measure of Dispersion 50%
• Monte Carlo Simulation 50%
• Regression Model 100%
• Scientific Modelling 50%

INIS

• applications 11%
• asymptotic solutions 11%
• data 11%
• distribution 33%
• efficiency 11%
• errors 100%
• maximum-likelihood fit 11%
• monte carlo method 11%
• nonlinear problems 100%
• power 11%
• roots 11%
• simulation 11%
• specifications 11%
• values 11%