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In addition, UNODC discusses the experience they have had in estimating the global drug market and proposes two types of method for such estimation: direct and indirect.
We propose two methods for performing such estimation.
Such estimation shows sensitivity degree of different areas to different topoclimatic conditions.
Our results show the importance of the non-chromophoric organic matter in such estimation.
In this paper, we quantified and corrected the errors of such estimation.
Subsequently, such estimation has been verified by comparing with the neutronic performance of the reference design.
In this paper, a new off-line method to perform such estimation is proposed.
Such estimation problem characterizes rain estimation from measurements logged by network managements systems, implemented on commercial microwave links in the backhaul of cellular networks.
However, such estimation may be inadequate as the contribution of muscle elasticity in muscle activity is ignored.
This study is concerned with a reliability-based calibration of the necessary minimum confidence for such estimation.
Such estimation is relevant to other problems such as clustering, outlier detection, or can simply serve to identify low-dimensional structures in high dimensional-data (e.g. point-cloud data from medical-imaging, astronomy, etc).
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