Statistics in Practice

Backing up decisions by means of classical statistical tools and modern alternatives
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Applied Statistics - A primer

As an alternative for the four-day course in Applied Statistics, the light version covers most of the regular course, but in some instances a more recipe-like approach is chosen and formulae are even less emphasized as compared to the regular course. What is not reduced is the emphasis on the applications of statistics in every day's industrial practice.
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Applied Statistics - A primer - selfstudy

Backing up decisions by means of classical statistical tools

Design of Experiments (DOE-I)

Efficiently developing processes and products; exploration and optimisation.
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Spectroscopic (NIR) Calibration

Spectroscopic regression models as an alternative to lab analyses
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Statistical Quality Control (SQC)

Statistics-based process monitoring and control: standard and novel approaches. Capability Analysis and Measurement System Analysis.
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Multivariate Data Analysis

Acquiring information and insights by analyzing large amounts of (non-designed) data
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