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No extrapolations were made outside of the bounding data points, and the interpolation was only performed over gaps not exceeding 100 m vertically and three days temporally.
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We derive provable privacy guarantees and bounded data distortion to validate the proposed protocols.
Estimation of the maximum and minimum is considered in a random coefficient autoregressive model for bounded data.
The control law is obtained as the solution of the bounded data uncertainty (BDU) least squares problem, using the bounded model uncertainty in the trial domain.
The both simulations are performed simultaneously in each domain and the bounded data are frequently exchanged each other to keep the consistency between the models.
In many instances, however, the decision making units involved may perform several different functions, or can be separated into different components and some inputs and outputs are unknown decision variables such as bounded data and ordinal data.
In this article we consider partitioning and nearest neighbor estimates and show that by replacing the boundedness assumption on X by a proper moment condition the same rate of convergence can be shown as for bounded data.
In this article we consider the kernel estimate and show that by replacing the boundedness assumption on X by a proper moment condition the same (optimal) rate of convergence can be shown as for bounded data.
In a recent paper by Wang and Yang (2007) [6], a pair of bounded data envelopment analysis (DEA) models were proposed to measure the overall performances of a group of decision-making units (DMUs), which were characterized by interval efficiencies.
Comparable studies can be conducted again on treating ordinal and bounded data by fuzzy sets.
bounded data symbols of power σ w d 2, and V is the M×N matrix whose entries are i.i.d.i.d
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