The phrase "inappropriate estimation" is grammatically correct and can be used in written English.
It is often used to describe an estimation or judgement that is not suitable or accurate for a situation. Example: The company's financial projections were based on inappropriate estimations, leading to significant losses in the first quarter.
The results evidence that noisy data and a lack of information can sometimes lead to an inappropriate estimation of the parameters.
This is probably caused by the low-pass filtering operation of the regularizing functional or inappropriate estimation of the blur function.
An unsatisfactory ζ-score can be caused either by an incorrect measurement result or by an inappropriate estimation of its uncertainty, or both.
As the CT scan was not gated, inappropriate attenuation correction was applied to the inspiration phase of the gated PET scan leading to inappropriate estimation of true counts within the lesion seen in the third row.
The sources of discrepancies remain unknown; however such factors as an inappropriate estimation of exposure level, interferences with other factors like light and medication, differences in a phase of the circadian rhythm during exposure, and interindividual variability in the sensitivity to electromagnetic fields seem to be particularly worth of attention.
The overall net effect in a sample of 1000 patients would be that coronary computed tomographic angiography would result in an inappropriate estimate of risk in 81 patients compared with risk estimation based on the revised cardiac risk index alone.
Before the estimation, inappropriate shots for the estimation including dark shots and short-length shots are excluded.
In this setting, to avoid endogeneity, the measures of English proficiency, high-skilled, children, marriage, assets (e.g. own a property) and previous occupation are based on the initial wave interviews, and as such they are time-invariant, making Fixed-effects estimation inappropriate.
Conventional statistical analyses with underlying distributional assumptions were inappropriate for variance estimation and statistical testing because of the multistage probability sampling design of the NHANES III.
As the number of codebooks employed by the proposed framework increases, there is a possibility of a negative influence from the inappropriate codebooks in the estimation of the model estimate.
Moreover, some conclusions reported in the literature about the anti-persistence of some financial series are shown to be incorrect because of the inappropriate application of the estimation methods.
