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Data were weighted by calculating sample weights for all records using the probability of selection at each stage of sampling.
For the sole purpose of estimating data in the reference population, the data were weighted by assigning a specific weight (W) to each individual in the sample, calculated as W = Nexp/Nobs, where Nobs is the number of persons in a specific age/sex category in the cohort, and Nexp is the number of persons of a specific sex and age in the north district of Madrid in 2010.
Vegetation data were weighted by the Prentice model, i.e. weighting by distance and by the dispersal deposition parameters of different pollen types.
Data were weighted by sampling probabilities to represent the structure of Nepali population using weighting factors provided with the NDHS [ 16].
The Jamaican data were weighted by age, sex, school type, and parish to provide normalized weights using data from STATIN.
Data were weighted by past vote recall.
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The data was weighted by sex, age, state and party vote with AEC enrolment data for each election.
Data was weighted by age, gender, region and socio-economic group to be representative of all British adults aged over 18.
If instead the data are weighted by GDP measured at purchasing-power parity (the method preferred by the IMF, which adjusts for price differences between countries and so gives more weight to emerging economies) then global growth in the third quarter was an astonishing 6.3%, the fastest since at least the 1980s.
The input values (the data) are weighted by the coefficients.
In both cases, the data is weighted by reported likelihood of voting.
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