Strategies for reducing error in machinery noise measurement

Reducing Measurement Error in Nutrition Assessment: Potential Research Implications for Iran

Self-reported measures of dietary intake are prone to measurement error that may obscure the relationship of diet and disease. This review addresses strategies to decrease errors during collection of dietary data and statistical approaches to deal with measurement issues once the data are collected.  Examples from two US studies-- the Women’s Health Initiative (WHI) Dietary Modificat...

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...

reducing measurement error in nutrition assessment: potential research implications for iran

self-reported measures of dietary intake are prone to measurement error that may obscure the relationship of diet and disease. this review addresses strategies to decrease errors during collection of dietary data and statistical approaches to deal with measurement issues once the data are collected.  examples from two us studies-- the women’s health initiative (whi) dietary modification trial a...

Recovery in quantum error correction for general noise without measurement

It is known that one can do quantum error correction without syndrome measurement, which is often done in operator quantum error correction (OQEC). However, the physical realization could be challenging, especially when the recovery process involves high-rank projection operators and a superoperator. We use operator theory to improve OQEC so that the implementation can always be done by unitary...

FAA Strategies for Reducing Operational Error Causal Factors