Sentence examples for complex statistical data from inspiring English sources

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Schwarzenegger took an intense interest in everything, from over-all strategy to the size of the type on a poster to the complex statistical data that come from "tracking," a system of phone polls conducted before a movie opens.

A spokesman for the mayor said: "Air quality is undoubtedly a serious health issue, but this report presents complex statistical data in an overly simplistic and alarmist manner".

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BMA could provide a versatile tool for the assessment of complex interrelated statistical data.

It emphasizes good experimental execution and discarding unsatisfactory microarrays rather than salvaging data through complex statistical analyses of array data of variable quality.

The consortium study used a complex statistical analysis of data from each state-administered test over the last 20 years, controlling for changes in the test's content and how it was scored, said Stuart Luppescu, a lead consortium researcher.

The second section of the journal publishes papers devoted to original and/or innovative applications of recent statistical methodology and complex approaches of statistical data analysis.

The technology makes inferences about brain activity by measuring changes in cerebral blood flow and the resulting 'pictures' of the brain are construed through complex statistical analysis of data.

Some of these methods include complex statistical approaches and data from 'negative control' experiments [5], [6], [7], [8], [9], [10], [11], [12].

Séralini et al. [3] did not present comparable means and standard deviations summarizing the raw data, but more complex statistical evaluations of some selected data sets.

We use these data to illustrate more complex statistical models for analysing longitudinal data e.g. a marginal GLM fitted with GEEs and compare bootstrap SEs and CIs for the parameters with their conventionally estimated counterparts.

It is a tool that can be used to perform statistical analysis, data management (i.e. compute anomalies, seasonal values, etc). display data and results (x-y plots, time series, histograms, contour plots, etc)., and compute more complex statistical analysis on climate data.

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