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We begin our derivation using a result derived by Zhou et al. [ 10].
In our derivation we paid attention to practical applications, deriving formulas that can really be used in the design of an irrigation plant.
As our derivation cohort was what we used to derive the search, we expected to be "overfitted" to that set and lose both sensitivity and specificity as we moved to another cohort.
Second, the β coefficients for the GAP scoring system were derived from fitting a logistic regression model to our derivation data set.
Sham et al. [ 2000] derive a similar result relating variance components in models of quantitative traits; our derivation here relates parameters in models of case-control data.
The results verify our derivation.
To simplify our derivation, we consider the i.i.d.i.d
The recovery of the Smagorinsky model for homogeneous turbulence validates our derivation.
Computer simulations of the circuit model by B2SPICE were used to demonstrate clearly our derivation results.
In Section 2, some definitions and lemmas which will be essential to our derivation are introduced.
For illustrative purpose, we use the simplest error statistics for our derivation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com