Abstract: A method evaluates a sample of measurement data from measuring multiple workpieces by at least one coordinate measuring machine. A system of statistical distributions describes a frequency of measurement data values. The distributions are distinguishable based on skewness and kurtosis. The method includes defining a set of statistical distributions that are able to describe a frequency of measurement data values in the entire value interval from the system of statistical distributions for a value interval of the measurement data, which is a specified value interval or a value interval of the measurement data actually arising in the sample. The method includes ascertaining the skewness and the kurtosis from the sample of measurement data corresponding to a first statistical distribution. The method includes checking, using the ascertained moment values, whether the defined set contains a statistical distribution that has the ascertained skewness and kurtosis, and producing a corresponding test result.

Abstract: A method for evaluating measurement data from a measurement of a plurality of workpieces includes obtaining a set of measurement data. Each workpiece has an associated set of measurement data. The set of measurement data corresponds to measurement points of the workpieces. The set of measurement data has, for each measurement point of the workpieces, at least one measured coordinate and/or, for each measured coordinate, a divergence from a comparison coordinate. The method includes determining a measure of the correlation of the measured coordinates and/or of the divergences is determined for a plurality of the sets of measurement data, in each case in relation to a pair of measurement points that consists of two measurement points of the workpieces.

Abstract: A method evaluates a sample of measurement data from measuring multiple workpieces by at least one coordinate measuring machine. A system of statistical distributions describes a frequency of measurement data values. The distributions are distinguishable based on skewness and kurtosis. The method includes defining a set of statistical distributions that are able to describe a frequency of measurement data values in the entire value interval from the system of statistical distributions for a value interval of the measurement data, which is a specified value interval or a value interval of the measurement data actually arising in the sample. The method includes ascertaining the skewness and the kurtosis from the sample of measurement data corresponding to a first statistical distribution. The method includes checking, using the ascertained moment values, whether the defined set contains a statistical distribution that has the ascertained skewness and kurtosis, and producing a corresponding test result.

Abstract: A method for evaluating measurement data from a measurement of a plurality of workpieces includes obtaining a set of measurement data. Each workpiece has an associated set of measurement data. The set of measurement data corresponds to measurement points of the workpieces. The set of measurement data has, for each measurement point of the workpieces, at least one measured coordinate and/or, for each measured coordinate, a divergence from a comparison coordinate. The method includes determining a measure of the correlation of the measured coordinates and/or of the divergences is determined for a plurality of the sets of measurement data, in each case in relation to a pair of measurement points that consists of two measurement points of the workpieces.

Abstract: A method for measuring a workpiece includes the steps: measuring measurement points on the surface of a workpiece using a measuring device; evaluating the measured measurement points in such a manner that a predetermined desired geometry of the workpiece to be measured and an actual geometry defined by the measured measurement points are mapped one on top of the other with the aid of a fitting method. In order to be able to adapt or fit the predetermined desired geometry of the workpiece to a measured workpiece, which had been altered, the application of a fitting method is suggested. In this method, transformation parameters are additionally provided for the fitting. These parameters permit a defined transformation of the desired geometry or of the actual geometry with regard to a targeted change of shape of the desired geometry or of the actual geometry.