Many economic data sets are contaminated by the mismeasured variables. The problem of measurement errors is one of the most fundamental problems in empirical economics. The presence of measurement errors causes biased and inconsistent parameter estimates and leads to erroneous conclusions to various degrees in economic analysis. Techniques for addressing measurement error problems can be classi...

We describe a simulation-based method of inference for parametric measurement error models in which the measurement error variance is known or at least well estimated. The method entails adding additional measurement error in known increments to the data, computing estimates from the contaminated data, establishing a trend between these estimates and the variance of the added errors, and extrap...

Thermal conductivity and viscosity are crucial thermophysical properties of nanofluids. They play a pivotal role in industries involved with heat transfer applications. Alumina (Al2O3) nanoparticles known to be good additive for enhancement favorable results countless research. However, the measurement nanofluids through experimental is expensive. Therefore, random forest (RF), an advanced comp...

PURPOSE It is assumed that wavefront error data arising from aberrometry are adequately described by a Zernike polynomial function, although this assumption has not been extensively tested. Inaccuracies in wavefront error may compromise clinical testing and refractive correction procedures. The current retrospective study correlates visual acuity with corneal wavefront error and with the residu...

abstract this study scrutinized the interaction between linguistic and strategic variables in reading comprehension test performance of iranian efl learners. to this end, the interaction among the participants’ reading comprehension test performance, use of test-taking strategies, and level of language proficiency was analyzed. the participants comprised 286 students who answered a reading comp...

This essay argues that when measurement processes involve energies of the order of the Planck scale, the fundamental assumption of locality may no longer be a good approximation. Idealized position measurements of two distinguishable spin-0 particles are considered. The measurements alter the space-time metric in a fundamental manner governed by the commutation relations [xi pj] = ih̄ δij and th...

Assessing the accuracy of predictive models is critical because predictive models have been increasingly used across various disciplines and predictive accuracy determines the quality of resultant predictions. Pearson product-moment correlation coefficient (r) and the coefficient of determination (r2) are among the most widely used measures for assessing predictive models for numerical data, al...

We derive standards for acceptable measurement error when inferring treatment effects from sample means. The standards arise from the amount of measurement accuracy required for sample means to beat a näıve benchmark estimator that randomizes the direction and magnitude of treatment effects. We show that at sample and effect sizes common to many areas of psychology, particularly in human subjec...