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This framework consists of four newly developed sub-models aiming to determine weightings for the evaluation of species' contributions to their communities, to quantitatively calculate an integrated habitat suitability index for multi-species based on habitat factors, to assess the suitable probability of habitat factors and to assess the rehabilitation priority of habitat factors.
The model has presented a suitable probability of good classification for the external prediction data set.
In mathematical statements, a suitable probability distribution function (PDF) is well-designed for representing such uncertainties.
By definition of a suitable probability, this parametric error model approximates a soft error bound.
For some suitable probability distribution, there are a number of research results.
Estimation of the design flood is usually carried out by fitting observed data samples with a suitable probability distribution.
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QMC simulations, which are based on high-dimensional random samples of some suitable probability-density function have a statistical error which declines with the sample size.
It may be that some non-probabilistic representation proves more suitable than probability for modeling analogical reasoning.
New properties of point and interval estimations of the TSP are derived and, in particular, an efficient "lower confidence bound" for the TSP estimation is proposed, based upon a suitable Beta probability distribution.
Basically, it decreases the optimistic bias of the simple resubstitution error estimate (agreement-checking on the training data) by means of suitable bolstering probability density kernels placed at each training data point, producing a nearly-unbiased and low-variance estimator.
The FLC selects the suitable transition probabilities of the IMM to minimize the error in tracking.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com