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As data-logging technologies have become much more prolific and their storage capabilities much larger, solar radiation monitoring sites are more commonly logging data at intervals much less than one hour, but no models exists that are designed to separate these measurements into direct and diffuse components.
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But as James Hamilton, an economist at the University of California, San Diego, has demonstrated, simple statistical models exist that can take economic data and deliver an indication of the current state of the economy.
Further, when multiple models exist that can describe experimental data, new sets of HTE can be suggested.
Multiple learning models exist that can be used to expand side-channel cryptanalysis, in particular, profiling-based attacks.
Few models exist that can describe key hydrological processes in clayey soils, i.e. overland flow, preferential flow in macropores and soil shrinkage and swelling.
Few, if any, empirical models exist that are able to quantify the patterns of variation that are observed in radiata pine MFA.
Additionally, high-resolution empirical models exist that have the capability to predict also the lithospheric field and the quiet-time magnetospheric field dominated by the magnetospheric ring current.
Although shear stress partition models exist that can describe this, their accuracy has only been tested against a limited dataset because instrumentation has previously been unable to provide the necessary measurements.
A variety of point process models exist that can be fit to point patterns.
Numerous time series models exist that can solve Eqs. 1 and 2 separately.
Nevertheless, viable business models exist that would motivate dissemination of kernels.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com