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Abstract

Chapter 10 is about errors and error propagation. It defines precision, accuracy, standard error, and confidence intervals. Then it demonstrates how to report uncertainties in binary diagrams. Finally, it shows two approaches to propagate the uncertainties: the linearized and Monte Carlo methods.

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Notes

  1. 1.

    https://www.pcg-random.org.

  2. 2.

    https://numpy.org/doc/stable/reference/random/bit_generators/.

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Correspondence to Maurizio Petrelli .

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Petrelli, M. (2021). Error Analysis. In: Introduction to Python in Earth Science Data Analysis. Springer Textbooks in Earth Sciences, Geography and Environment. Springer, Cham. https://doi.org/10.1007/978-3-030-78055-5_10

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