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Over-fitting was tested using a split sample approach, with only minor differences observed in positive predictive values (PPV), sensitivity and specificity.
Household selection used a clustered random sample approach with the national Postcode Address File (PAF; a database of all known addresses and postcodes in the UK) employed as the sampling framework and lower super output areas (LSOAs; standard geographical units containing approximately 1500 residents 30) as the primary sampling units.
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Finally, some simulation results to compare the performance of the modified large-sample approach with that of the generalized approach are reported.
A probabilistic sampling approach with numerical fire simulations was taken to determine the fire accidental load.
UTC estimates for 1990 were developed using a point sampling approach with circa 1990 air photos covering a large portion of Canadian urban areas.
We compare our proposed sampling approach with several baseline methods, and evaluate their effectiveness based on two different aspects.
frequency spread [23] based FBMC, featuring also a general prototype with length KM and designed using the frequency sampling approach with only 2(K−1) non-zero coefficients.
Briefly, though, YRBS data are collected biennially via a two-stage cluster sampling approach, with inverse probability weights applied to adjust for oversampling and non-response.
In order to effectively fuse these different types of measurements, we proposed a Multi-scale Multi-rate Adaptive Sampling approach with a parametric description of the field[6].
Parents were recruited between February 2013 and March 2014 using a purposeful sampling approach with snowball techniques [ 20].
To find the appropriate participants or informants, this study employed a purposive sampling approach with criterion sampling strategy.
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