Measurement error and reliability testing: Application to rehabilitation

Measurement error and reliability testing: Application to rehabilitation

TESTING FOR AUTOCORRELATION IN UNEQUALLY REPLICATED FUNCTIONAL MEASUREMENT ERROR MODELS

In the ordinary linear models, regressing the residuals against lagged values has been suggested as an approach to test the hypothesis of zero autocorrelation among residuals. In this paper we extend these results to the both equally and unequally replicated functionally measurement error models. We consider the equally and unequally replicated cases separately, because in the first case the re...

Assessment and Monitoring for Railway Tracks Reliability and Safety using Nondestructive Testing Measurement Systems

The deterioration of railway tracks raises great concerns about the integrity of assessments and evaluations of railway tracks currently in service. Integrated inspection strategies coupled with innovations in inspection technology can lead to significant improvements in operational cost efficiency and reliability without the requirement of a fundamental shift in the existing understanding o...

An application of Measurement error evaluation using latent class analysis

‎Latent class analysis (LCA) is a method of evaluating non sampling errors‎, ‎especially measurement error in categorical data‎. ‎Biemer (2011) introduced four latent class modeling approaches‎: ‎probability model parameterization‎, ‎log linear model‎, ‎modified path model‎, ‎and graphical model using path diagrams‎. ‎These models are interchangeable‎. ‎Latent class probability models express l...

testing for autocorrelation in unequally replicated functional measurement error models

in the ordinary linear models, regressing the residuals against lagged values has been suggested as an approach to test the hypothesis of zero autocorrelation among residuals. in this paper we extend these results to the both equally and unequally replicated functionally measurement error models. we consider the equally and unequally replicated cases separately, because in the first case the re...