Omission Error Analysis in Gravity Gradient Measurement
نویسندگان
چکیده
منابع مشابه
An Error of Omission
We read with great interest a recent article entitled “Posterior Mediastinal Sarcoidosis” by Rosseel et al (Chest 1986; 90:462-64). As the authors indicate, posterior mediastmnal lymphadenopathy in sarcoidosis has rarely been recorded. It may be expected that frequent use of CT in these cases may change our current concept about the incidence of such involvement in the disease, and additional w...
متن کاملAn application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملMeasurement of the Earth’s Gravity Gradient with an Atom Interferometer-Based Gravity Gradiometer
Measurement of the gradient of gravitational fields has important scientific and technical applications. These applications range from measurement of G, the gravitational constant, and tests of general relativity [1,2] to covert navigation, underground structure detection, oil-well logging, and geodesy [3]. This Letter describes the development of a gravity gradiometer whose operation is based ...
متن کاملTESTING FOR AUTOCORRELATION IN UNEQUALLY REPLICATED FUNCTIONAL MEASUREMENT ERROR MODELS
In the ordinary linear models, regressing the residuals against lagged values has been suggested as an approach to test the hypothesis of zero autocorrelation among residuals. In this paper we extend these results to the both equally and unequally replicated functionally measurement error models. We consider the equally and unequally replicated cases separately, because in the first case the re...
متن کاملSufficient Knowledge Omission Error and Redundant Disjoint Relation in Ontology
Ontology evaluation is as important as its designing and application. Researchers have identified different errors which should be catered in ontology evaluation process and classified them in error’s taxonomy. We have found that some important errors are missing in the error’s taxonomy. We have identified and defined new errors i.e. sufficient knowledge omis-sion error (SKO) and redundancy dis...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2018.2840155