In this chapter the FUNOP, an automated procedures for detecting outliers, was presented as both general and accessible graphical technique in geosciences. The pattern of points in the plot suggest which observations should deserve “special attention.” It is noteworthy that the efforts of Tukey in detecting and dealing with outliers influenced succeeding Huber’s work on robust estimation (Huber 1964; Hampel 1991). However, we observe that, although presented in a fundamental article for the future of statistics, FUNOP is not very used in practice.

Monti, G., Mateu-Figueras, G. (2022). Full Normal Plot. In B.S. Daya Sagar, Q. Cheng, J. McKinley, F. Agterberg (a cura di), Encyclopedia of Mathematical Geosciences (pp. 1-2). Springer Science and Business Media B.V. [10.1007/978-3-030-26050-7_128-1].

Full Normal Plot

Monti, GS
;
2022

Abstract

In this chapter the FUNOP, an automated procedures for detecting outliers, was presented as both general and accessible graphical technique in geosciences. The pattern of points in the plot suggest which observations should deserve “special attention.” It is noteworthy that the efforts of Tukey in detecting and dealing with outliers influenced succeeding Huber’s work on robust estimation (Huber 1964; Hampel 1991). However, we observe that, although presented in a fundamental article for the future of statistics, FUNOP is not very used in practice.
Capitolo o saggio
Normal distribution, statistical outliers, robust statistics;
English
Encyclopedia of Mathematical Geosciences
Daya Sagar, BS; Cheng, Q; McKinley, J; Agterberg, F
27-lug-2022
2022
978-3-030-26050-7
Springer Science and Business Media B.V.
1
2
Monti, G., Mateu-Figueras, G. (2022). Full Normal Plot. In B.S. Daya Sagar, Q. Cheng, J. McKinley, F. Agterberg (a cura di), Encyclopedia of Mathematical Geosciences (pp. 1-2). Springer Science and Business Media B.V. [10.1007/978-3-030-26050-7_128-1].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/388929
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