Straight Lines

Grabe, Michael

doi:10.1007/978-3-319-04888-8_13

Michael Grabe²

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Abstract

The fitting of straight lines, ranking among the most basic procedures of data analysis, is guided via restrictive preconditions.

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Notes

1.
If, in contrast to our premise, the systematic errors vary along the sequence of measured ordinates, or should the empirical data not fulfill the linear model (13.2), the estimator (13.19) will, of course, break down.

References

Works by the Author

M. Grabe, Generalized Gaussian Error Calculus (Springer, Berlin, 2010), 301 p. 100 illus., ISBN 978-3-642-03304-9, e-ISBN 978-3-642-03305-6
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Braunschweig, Germany
Michael Grabe

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Michael Grabe
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Grabe, M. (2014). Straight Lines. In: Measurement Uncertainties in Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-04888-8_13

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DOI: https://doi.org/10.1007/978-3-319-04888-8_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04887-1
Online ISBN: 978-3-319-04888-8
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