Sentence examples for wrongly fitted from inspiring English sources

Unrelated sequences have been wrongly fitted on to structures in other studies.

Second, single data clusters were sometimes wrongly fitted as 2 Gaussian distributions when a subset of the data incidentally had very low variance (so that a second distribution with artificially small standard deviation would be fitted to account for data heterogeneity).

The assessments have seen many people with mental health conditions endure great stress with thousands wrongly found fit for work, he says.

Up to 500,000 people have been wrongly judged fit for work and disallowed incapacity benefit over the past 15 years, according to a study for Compass, the leftwing campaign group.

Ministers announced in March that the contract to deliver work capability assessments was being terminated early by mutual consent, amid criticism of delays and the number of disabled people apparently being wrongly judged fit to work.

Ligtvoet et al. [ 22] conveys that IIO is strong requirement in psychometrics, and that researchers wrongly assume that fitting any IRT model implies that the items have the same ordering by difficulty for all subjects.

But Rix said the government's disastrous track record on incapacity benefit, in which hundreds of thousands of ill and disabled people were wrongly found fit for work, did not inspire confidence.

Scenes are set in jobcentres and in characters' homes addressing some of what Neville calls the "everyday absurdity" of what occurs, such as when people with disabilities and fluctuating health conditions are wrongly declared "fit for work" inflicting additional suffering in the process.

In 2011, I was wrongly told I was fit to work and my benefits were stopped.

The regulations wrongly presume "one size fits all" when it comes to pricing, says Richard Feasey of Vodafone, Europe's biggest operator.

There has been mounting evidence that hundreds of thousands of vulnerable people have been wrongly judged to be fit for work and ineligible for government support.