Sentence examples for data was contaminated from inspiring English sources

With the non-linear confounder Z, the robust Poisson model outperformed the log-binomial model when the data was contaminated (Table  1, Figure  1C and D).

When the data were contaminated (level of contamination > 0%), the relative biases were all negative, indicating that the point estimates were biased towards null.

If the data is contaminated – by error, selectivity or bias – so too will be the patterns learned by the software.

The proposed algorithm is also effective even if data is contaminated by non-monotonic noisy samples.

Large-scale, structural health monitoring remains a challenge especially when I/O measurement data are contaminated by high-level noise.

This inevitably brings the accuracy and the reliability issues, especially when the data are contaminated by noise.

It is also shown that this method has considerable noise-resisting ability in the case where the measured response function data are contaminated by certain level measurement noise.

The maximum entropy test, as designed for examining goodness-of-fit with a non-robust estimator such as the maximum likelihood estimator, can suffer from severe size distortions when the data are contaminated by outliers.

Numerical examples show that results of this SVR-based approach for large-scale structural health monitoring are accurate and robust, even when observed data are contaminated with different kinds and intensity levels of noise.

This paper addresses damping uncertainty in frequency-domain estimation when (i) the data are contaminated by noise and (ii) numerical damping via exponential windowing is introduced during the signal processing phase of the spectrum estimation.

Since the raw data are contaminated by noise that cannot be modeled statistically, a wavelet based least square method (LSM) is proposed to estimate these parameters for the cart.