Exemplos de uso de Statistical modeling em Inglês e suas traduções para o Português
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Statistical modeling.
The PCE used a more modern statistical modeling that allows.
In the statistical modeling, a critical level value of p.
Marilia Sá Carvalho, an epidemiologist,works with various aspects of statistical modeling.
Souza, r. m.\statistical modeling in bioequivalence studies under bayesian approach.
Based on the assumption that food intake data are free of biases, statistical modeling can attenuate the inherent variability.
After statistical modeling, the following variables remained associated with self-rated health.
However, in practical applications of statistical modeling the assumption may or may not be realistic.
The statistical modeling adopted allowed the independent impact of each variable studied to be evaluated.
The students will obtain a general background by taking compulsory courses in probability,optimization, statistical modeling, and random processes.
More advanced statistical modeling can be used to adapt the inference to the sampling method.
How it works We measure shopper conversion funnels andratios via a combination of advanced technologies and sophisticated statistical modeling.
In the statistical modeling, we used the backward selection strategy, in which we kept the variables with p.
Konishi& Kitagawa state,"The majority of the problems in statistical inference can be considered to be problems related to statistical modeling.
There, he acquired the skills in statistical modeling and theoretical ecology required for his doctorate.
Statistical modeling, traditionally the strongest point of the congress, was also full of new approaches.
We adopted the strategy of backward selection for statistical modeling, and a critical p-value of< 0.20 was required for a variable to remain in the model.
Statistical modeling was conducted with the software R package www. r-project. org, version 3.0.1, with the epicalc and sandwich packages.
The table below describes different statistical modeling methods used to adjust the variability in food intake in a step-by-step manner.
For statistical modeling, the strategy of backward selection and a critical level of p 0.20 were used for variables to remain in the model.
Biodiversity and statistical modeling of polychaete community in soft bottom of Sebastião….
Statistical modeling is used to handle random errors, whereas proper designing and sampling are essential for controlling biases.
In this context, statistical modeling by regression allows to treat such relationship and predict trends.
For statistical modeling, the strategy of backwards selection was adopted, as well as p< 0.20 for permanence in the model to control for confusion.
The MSM is a program of statistical modeling technique, developed by the European Prospective Investigation into Cancer and Nutrition(EPIC)13 13.
Statistical modeling considered each mean rate of the analyzed outcomes as a dependent variable, and chronological time from 2000 to 2010 as an independent variable.
And tabulation, statistical modeling and various types of technological solutions to process and analyze research information.
Statistical modeling is thus useful for data interpretation, considering other characteristics that affect the comparison, including age structure.
Predictive Features Anomaly detection Statistical modeling automatically finds unexpected trends in your data by analyzing metrics and determining a lower bound, upper bound, and expected range of values.
Evaluating statistical modeling strategies, less than a quarter of the studies included in this review adopted a theoretical model prior to analysis, organizing the variables in hierarchical levels.