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The workshop introduced iSAT with examples using data collected in the context of several/various active learning interventions.
We also provide several examples using data from laboratory, field, and simulation experiments illustrating the benefits of these approaches.
This paper first describes the method used and then presents three examples using data from observatories located relatively close to the survey areas.
Examples using data from several western coal mines illustrate the ease of using the application for analysis of main entries, barrier pillars, and bleeder entry safety.
A Monte Carlo simulation study and two examples using data from medical studies are employed to examine the performance of these proportion estimators under both perfect and imperfect ranking and for JPS data both with and without empty strata.
In addition, worked examples using data on non-Hispanic white participants in the Fels Longitudinal Study are used to illustrate how the analytical strategies might be applied to gain novel insight into human growth and its determinants and consequences.
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Mr Varian and Ms Choi show that the addition of these search trends to econometric models improves the accuracy of their estimates.For example, using data on searches for trucks and SUVs to predict the monthly sales of motor vehicles reduces the average error by up to 18% compared with the predictions from a model that did not incorporate the search data.
An example using data from a longitudinal randomized clinical trial illustrates the use of the methods in a practical setting.
The application of the proposed procedure is guided by showing a running example, using data of the Wisconsin Breast Cancer Dataset.
In this section, we present an empirical example using data from the Family Income and Expenditure Survey in Japan.
The workings of the presented method are first demonstrated by an example using data from Table 1.
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