Erratum for “Errors in Piezometric Measurement”

Instrumental Variables Regression with Measurement Errors and Multicollinearity in Instruments

In this paper we obtain a consistent estimator when there exist some measurement errors and multicollinearity in the instrumental variables in a two stage least square estimation of parameters. We investigate the asymptotic distribution of the proposed estimator and discuss its properties using some theoretical proofs and a simulation study. A real numerical application is also provided for mor...

Measurement Errors in Investment Equations*

We use Monte Carlo simulations and real data to assess the performance of methods dealing with measurement error in investment equations. Our experiments show that fixed effects, error heteroscedasticity, and data skewness severely affect the performance and reliability of methods found in the literature. Estimators that use higher-order moments return biased coefficients for (both) mismeasured...

An Erratum to Correct Typographical Errors

An Erratum to Correct Typographical Errors

1. Macias-Hernandez SI, Vasquez-Sotelo DS, Ferruzca-Navarro MV, Badillo Sanchez SH, Gutierrez-Martinez J, Nunez-Gaona MA, et al. Proposal and evaluation of a telerehabilitation platform designed for patients with partial rotator cuff tears: a preliminary study. Ann Rehabil Med 2016;40:710-7. 2. Kang JH, Bae HJ, Choi YA, Lee SH, Shin HI. Length of hospital stay after stroke: a Korean nationwide ...

Modelling measurement errors

Models are developed to adjust for measurement errors in Normally distributed predictor and response variables and categorical predictors with misclassification errors. The models allow for a hierarchical data structure and for correlations among the errors and misclassifications. MCMC estimation is used and implemented in a set of MATLAB macros.