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Kernel density estimation is a popular non-parametric method which can be applied for the estimation of data in many diverse applications.
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MODIS data should be used when available for the estimation of the IWV in other studies.
For reference, one set of data used for the estimation of is the 's in Fig. 24(a).
Smith, S.J. (1990) "Use of statistical models for the estimation of abundance from groundfish trawl survey data" in Canadian J. of Fisheries and Aquatic Sciences.
The use of all three data sources provides a more robust approach to risk estimation, in that it allows for the estimation of risk even when posttreatment pathogen data are all below the detectable level.
There are, normally, three basic approaches are available for the estimation of solar radiance on flat surfaces estimation based on in situ data, estimation based on satellite data and combination of in situ data and satellite data.
Nevertheless, the principles and consequences of noisy field data for the estimation of SNP effects are analogous to those for variance component estimation.
In this paper, a data-driven prognostic algorithm for the estimation of the Remaining Useful Life (RUL) of a product is proposed.
MacClade v.4.06 [40] was used for the sequence management including the estimation of haplotype frequency in the data set.
This represents a conservative approach to the estimation of disease for missing data.
For serially correlated data, Bai [5] considered the estimation of the change point in linear processes.
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