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Data Interpretation: Using Probability [PDF]
Please cite this paper as: Drummond and Vowler (2011). Data Interpretation: Using Probability. Microcirculation 18(5), 358–360.
Sarah L. Vowler, Gordon B. Drummond
openaire +14 more sources
Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0. [PDF]
The Human Proteome Organization’s (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016.
Deutsch EW +13 more
europepmc +2 more sources
Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM).
T. Battelino +42 more
semanticscholar +1 more source
Background. Additional exploration of oil and gas reserves requires the application of information technologies for modelling all technological processes and interpreting the results of geophysical well logging.
V. L. Shuster +3 more
doaj +1 more source
Nonparametric statistical tests for the continuous data: the basic concept and the practical use [PDF]
Conventional statistical tests are usually called parametric tests. Parametric tests are used more frequently than nonparametric tests in many medical articles, because most of the medical researchers are familiar with and the statistical software ...
Francis Sahngun Nahm
doaj +1 more source
Data interpretation in forensic sediment and soil geochemistry [PDF]
Automated geochemical techniques enable reproducible elemental assays of small quantity samples and have been used in recent years in many forensic criminal investigations in England and Wales.
Bull, PA, Morgan, RM
core +1 more source
A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation
This article introduces the Rayleigh autoregressive moving average (RARMA) model, which is useful to interpret multiple different sets of remotely sensed data, from wind measurements to multitemporal synthetic aperture radar (SAR) sequences.
F. M. Bayer +3 more
semanticscholar +1 more source
Neural-networks for geophysicists and their application to seismic data interpretation [PDF]
There has been a surge of interest in neural networks for the interpretation of seismic images over the last few years. Network-based learning methods can provide fast and accurate automatic interpretation, provided that there are many training labels ...
B. Peters, E. Haber, J. Granek
semanticscholar +1 more source
Correlation Coefficients: Appropriate Use and Interpretation
Correlation in the broadest sense is a measure of an association between variables. In correlated data, the change in the magnitude of 1 variable is associated with a change in the magnitude of another variable, either in the same (positive correlation ...
P. Schober, C. Boer, L. Schwarte
semanticscholar +1 more source
Seepage flow through embankment dams and their sub-base is a crucial safety concern that can initiate internal erosion of the structure. The thermometric method of seepage monitoring employs the study of heat transfer characteristics in the soils, as the
Yaser Ghafoori +3 more
doaj +1 more source

