Sentence examples for measurement error probability from inspiring English sources

We map the intensity variations due to turbulence to variations in the probability distribution of the arrival time of the 1st photon in a laser pulse, which influences the range measurement error probability distribution.

The measurement error probability density functions: The measurement error probability density function g0 of the reliability state R. The measurement error probability density function gh of each critical-failure mode Fh.

The measurement error probability density function g0 of the reliability state R. The measurement error probability density function gh of each critical-failure mode Fh.

A more complex issue is the estimation of the dependencies between the critical-failure time probability density functions (see eqs (14) and (15)) as well as of the respective measurement error probability density functions (See Definition of functions assuming multivariate measurement error probability density functions in Appendix S1).

For a more general model a multivariate (c-variate) distribution of measurement error can be used (See Definition of functions assuming multivariate measurement error probability density functions in Appendix S1).

The reliability analysis of an analytical system should include a quantitative fault tree analysis [15] to define the critical-failure modes and estimate the critical-failure time and measurement error probability density functions and their dependencies.

In other words, to reach a value beyond the 95% CI for measurement error, the probability of correctly classifying a patient as improved would fall dramatically for the EQ5D, nearly reaching 50% or classifying by chance.

The smallest change score that could be said to represent a real change beyond measurement error with 95% probability in one individual (MDC95) are presented in Table  2.

The expected value of |ΔXTE| was 2.6 mm, and the measurement error with a 95% probability does not exceed 6.5 mm (Table 2).

Based on this SEM, the MDC (with 95%CI) was 1.2 points (37%) meaning that individual changes higher than these figures can be interpreted as real and not due to measurement error with an acceptable probability level.

40 Our observational results might differ from those from meta-analyses of clinical trials because such trials tend to be conducted in high risk populations and are designed so that the exposure has a low measurement error and that the probability of confounding is reduced.