Abstract
This paper presents a method for testing the data quality of a G.I.S. making use of the Wilcoxon test. Accuracy assessment procedures based on statistical hypothesis tests are considered first, then the Wilcxon test is presented and a power formula is discussed. This expression needs the estimation of two parameters, obtained by the bootstrap. The advantages of the proposed procedure are that the hypothesis testing approach is preferable to the simple comparison of values, and that it minimizes control measurements, since the power expression allows to determine the optimal sample size.
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References
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© 1995 Springer-Verlag Berlin Heidelberg
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Crosilla, F., Pillirone, G. (1995). Non-parametric Statistics and Bootstrap Methods for Testing the Data Quality of a Geographic Information System. In: Sansò, F. (eds) Geodetic Theory Today. International Association of Geodesy Symposia, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79824-5_30
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DOI: https://doi.org/10.1007/978-3-642-79824-5_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59421-5
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