Sentence examples for model for observed from inspiring English sources
Since theoretical SIR = μ i E i, this is a model for observed agglomeration level SIRs and the parameters βSES describe association between factor scores and (log) SIR with exp βSES) interpretable as relative risk parameters within each agglomeration.
The goodness of fit of each model for observed versus predicted values will be scrutinised (comparisons will be drawn through a likelihood-ratio test and Akaike's Information Criterion (AIC)).
We therefore study a Bayesian feature selection scheme that can learn a sparse and well-generalizing model for observed preference data.
It is convenient to categorize data fusion methods as either non‐parametric (i.e. those not based on an underlying model for the observed and missing data) or parametric (i.e. methods based on assuming an underlying model for observed and missing data described by a set of parameters).
It must be noted that in this section, only the observed amounts of precise random variables can be regarded as imprecise numbers while the model for observed values is still precise as follows begin{aligned} Y_{ij} =mu _i +varepsilon _{ij}, text {for}, i=1,ldots,r, text {and}, j=1,ldots,n_i.
Specifically, let SUV1, SUV2, …, SUV K denote the values of K baseline SUV lesion measurements for a given patient, and, as suggested by the previously described additive measurement model for observed SUV-values, calculate for j = 1, …, K,.
To generate an independent model for observing convergence and divergence dynamics, we turned to the version 4 DMSP-OLS Nighttime Lights Time Series collected by the US Air Force Weather Agency [30, 31].
Chloroquine proved to be an apt in vitro model for observing the buildup of intracellular lipid in ARPE-19 cells.
Then a good cell model for observing the inhibitory effects of antisense PCDGF on their malignant phenotype of ovarian cancer cells was provided.
Investigators often encounter situations in which plausible statistical models for observed data require an assumption of correlation between successive measurements on the same subjects (longitudinal data) or related subjects (clustered data) enrolled in clinical studies.
Co-authors included Sandra Shin, a researcher and pathologist at Weill Cornell Medical College who supplied patient breast tumor samples, and Robert Weiss, associate professor of molecular genetics at Cornell's College of Veterinary Medicine, who provided mouse models for observing these processes.
