the aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood. based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. in addition, we derive the corrected score test statistic for outliers detection ba...

Background and Objectives: In recent decades medical errors have become a major issue for scientific investigation to avoid potential harmful failures threatening patients’ health and safety. Developing risk management culture has been considered not only to play an important role in detecting and coping effectively with such errors but also lead to high level ...

A standard problem in social science attempts to better understand the large wage disparities between black and white workers in U. S. labor markets. Social scientists have conducted hundreds of studies of observed racial wage gaps, seeking to understand the extent to which they are driven by differences in human capital or disparate treatment by employers. In order to get an unbiased estimate ...

We propose a semiparametric estimator for multinomial discrete choice models. The term “semiparametric” refers to the fact that we do not specify a particular functional form for the error term in the random utility function and we allow for heteroskedasticity and serial correlation. Despite being semiparametric, the rate of convergence of the smoothed maximum score estimator is not affected by...

Our goal is to develop a coplayer music robot capable of presenting a musical expression together with humans. Although many instrument-performing robots exist, they may have difficulty playing with human performers due to the lack of the synchronization function. The robot has to follow differences in humans’ performance such as temporal fluctuations to play with human performers. We classify ...

The performance of an automatic fingerprint verification system relies heavily on the quality of the captured fingerprint images. In this paper, we propose a new method using fingerprint image quality to improve the accuracy of fingerprint verification. Comparison to conventional fingerprint verification that only use the matching score, a final score is calculated by the matching score and qua...

abstract background: committing an error is part of the human nature. no health care provider, despite the mastery of their skills, is immune from committing it. medical error in the labor and obstetrics wards as well as other health units is inevitable and reduces the quality of health care, leading to accident. sometimes these events, like the death of mother, fetus, and newborn, would be bey...

introduction: medication errors are among the most serious health errors threatening patient safety in all countries, with major impacts on public health. midwives as members of healthcare systems are prone to such errors. therefore, in this study, we aimed to determine medication errors and the contributing factors among midwives working in maternity units of mashhad university of medical scie...

In neuropsychological single-case research inferences concerning a patient's cognitive status are often based on referring the patient's test score to those obtained from a modestly sized control sample. Two methods of testing for a deficit (z and a method proposed by Crawford and Howell [Crawford, J. R. & Howell, D. C. (1998). Comparing an individual's test score against norms derived from sma...