Baojiang CHEN, Ao YUAN, Grace Y. YI, Variable selection for proportional hazards models with high-dimensional covariates subject to measurement error, The Canadian Journal of Statistics / La Revue ...

Furthermore, developments in nonparametric identification have facilitated more flexible specifications in models confronting errors in variables, enabling robust applications in fields such as ...

Measurement errors in exposure assessment are unavoidable, with residential radon exposure being no exception (Bäverstam and Swedjemark, 1991; Lubin et al., 1995), and induce bias on RR estimates.

Material testing requires a knowledge of how the factors of accuracy, repeatability and resolution. Find out more about measurement errors.

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling ...

It supports the two-point calibration practice to minimize errors, particularly at lower concentrations, and recommends measures such as improved aerosol systems and automation to enhance calibration ...