Sentence examples for unreliable small from inspiring English sources

And, quite frankly, the memory that most Americans have of Fiats is an unreliable, small sports car".

"Traditionally, farmers made large-scale business decisions based on intuitions that would come from limited (and often unreliable) small-scale testing done by the naked eye," said Talpaz.

It has been argued that VP is only unreliable in small nodes because flow volume may be too low to be detectable.

Emergency laparotomy procedures have a high risk profile, but the currently available risk-assessment models for emergency laparotomy are either unreliable (eg, small sample size or single center study), difficult to calculate preoperatively, or are specific to the geriatric population.

All pairwise interactions between the four scene characteristics were unreliable and small in magnitude: all p values >0.25, all ds < 0.20.

Contrary to expectations and our prior work (e.g., Farris et al., 2006, 2008b, 2010; Treat et al., 2015a), all six bivariate interactions among the cues were unreliable and small in magnitude.

While the detector was, in general, quite reliable, we observed that the detection confidence values and pose estimates were often unreliable for small image patches (i.e., inter-pupillary distance of ≤10 pixels).

However, our experiments with the bootstrapping procedure suggest that this method is unreliable for small values of π1.

In the GLMM, the Wald statistics are recommended to test the null hypothesis of fixed effects because the likelihood ratio tests are unreliable for small to moderate sample sizes [ 8- 10].

As percutaneous renal biopsy is unreliable for small tumors [ 28] and may underestimate tumor grade of RCC [ 29], reviewing the patients with renal tumors which received delayed surgery and hence got the pathological diagnosis with grade and histological type is the only opportunity to investigate the correlation between the growth rate of RCC during AS and tumor grade.

Meta-regression can be used to adjust for trial-level factors that differ between trials (e.g., mean age), but can be unreliable for small numbers of trials and may be subject to ecological bias (i.e., potential false inferences arising by using group rather than individual patient level data) [ 9, 10].