Evaluation

Evaluation Strategy
The core of a validated evaluation is known as the evaluation strategy. In the evaluation strategy, the statistical calculations and specifications can be defined on a client-specific basis, or the already established company standards and guidelines can be used. This ensures that the results can be compared and reproduced across the organisation and between sites. In addition to the Q-DAS evaluation strategies, which are different for each module, the Q-DAS application also includes company-specific evaluation strategies.

A separate topic provides technical descriptions of how to use the evaluation strategies. Link to: Evaluation Strategy

Evaluate Standard Procedure
Once the data has been modified, press the "Execute evaluation" button to perform the default calculation. The default calculation is performed automatically when a dataset is opened.

Evaluation
Depending on the evaluation strategy and any selections and outlier considerations, different sub-variants of the evaluation can be carried out in the Sample Analysis and Process Capability Analysis modules.

Distributions
Only experienced users should use manual distribution. The dialogue box that appears shows the possible distributions. In addition to the offset selection, the regression coefficients and the CHI² value are displayed. The user can select a different distribution based on the statistical data.

	Note The manual selection of a distribution is volatile. After the evaluation or reopening of the data set, the distribution determined by the strategy is selected again.

	Note Selecting a different distribution form is logged on the reports, thus marking to the recipient of the reports that the evaluation did not follow the rules of the selected strategy mentioned on the reports.

	Important Manual selection of distributions that do not fit must be agreed with the recipient of the reports, otherwise this can be interpreted as an attempt to "embellish the reports".

TSAF Evaluation
“TSAF” stands for “Time-Series Analysis and Forecasting”. If you input a series of values over time, e.g., representing an arbitrary parameter over time or a sensor value over time, TSAF predicts and outputs future values 100% automatically. Additionally, TSAF can identify, and output all found outliers and changepoints in the given values over time if requested, and if there are any.

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