Supplementary material to "Simple Box-Cox probabilistic models for hourly streamflow predictions"

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Authors: Cristina Prieto, Dmitri Kavetski, Fabrizio Fenicia, James W. Kirchner, David McInerney, Mark Thyer, César Álvarez
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Abstract

This supplementary material details the calculation of the best-metric residual error model and the analysis of statistical significance of differences in the performance metrics of the competing residual error models.We look at performance rankings of the residual error models.We use statistical tests to assess whether differences in the performance metrics of competing residual error models are 15 significant.For example, to compare the reliability (R) of three residual error models A, B, C and D.

Fields of Study & Subjects

Hydrology and Watershed Management Studies Hydrological Forecasting Using AI Meteorological Phenomena and Simulations

Publication details

Publication date
4 February 2026