The first deals with a dynamic monitoring of mutation and crossover rates whereas the second involves a selection step based on sample "distance".
All analyses used linearized methods based on sample design and weighted by probability of selection.
Selection of patient samples was based on sample availability and drugs were run in parallel.
While the sample within each subgroup was selected with equal probability, estimates based on other subsets of articles (defined across time periods, areas, or languages) are based on samples with various selection probabilities.
Different from Web surveys based on samples of self-selection, this study started with a multistage sampling strategy and drew a stratified sample of 11 high schools representing different school ranks in Nanjing.
To check model fit, we consider the posterior predictives (Gelman, Carlin, Stern, & Rubin, 2004)—that is, model predictions for card selections based on samples from the joint posterior distribution.
In case of ML, evolutionary model was inferred by MEGA 6.0 model selection tool, based on Sample-corrected Akaike information criterion (AICc).
To handle the case of different data distributions, this method extends the approach from the author's previous work [53] and utilizes a clustering based sample selection method on the latent subspace as to select source data that is most similar to the target data.
The sub-analyses utilized a baseline sample based on the selection criteria described above.
Sampling was based on random selection from a stratified area probability sample of private dwellings and mobile phone users.
