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Based on these sampling weights, a complex sampling plan file was then prepared to perform logistic regression modelling, with need factors and other confounding factors listed in table 1.
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In our city, we know that our pupils, on average, are a little bit above the national average based on these sample-based tests.
Implicit in the "population-based" approach to molecular epidemiology is the assumption that the results of studies based on these samples are reliable estimates of the parameters of interest in the population from which the sample was drawn.
Based on these samples, an approximation model was built with the moving least squares method (MLSM).
Based on these samples, Magnetic property of Sm0.4Er0.6FeO3 single crystals were investigated systemically by means of the temperature dependence of magnetization.
A suitable regression technique can be applied to predict the buffer fullness based on these sampled data.
For each sample, the hypothetical cohort runs through the model based on these sampled probabilities, and costs and effects are derived.
After the M beaconing periods, the roadside infrastructure can get the beaconing result samples denoted as r 1,r 2,⋯,r M. Based on these samples, we can estimate the state transition probabilities of the Markov model.
The basic idea of the particle filter is to represent the state vector of interest as a set of random samples with associated weights and then work out the state estimation values based on these samples and weights.
The key idea is to represent the required posterior density function by a set of random samples with associated weights and to compute estimates based on these samples and weights.
The basic principle of particle filter method is to represent the required posterior density function of unknown vehicle parameters by a set of random samples (particles) with associated weights, and to compute the estimates based on these samples and weights.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com