2017
DOI: 10.17223/19988605/41/3
|View full text |Cite
|
Sign up to set email alerts
|

Application of criteria for testing homogeneity of distribution laws

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…Hydrological regime shift (change) point detection for annual and seasonal water flow. The time boundaries between individual long phases of increased and decreased values of annual and seasonal water flow were determined using normalized cumulative deviation curves (Andreyanov 1959;Georgiadi et al 2018) in combination with the statistical homogeneity of the average values of the series using the Student t-test (Stepanek 2008;Lemeshko et al 2018) and Mann-Whitney-Pettitt (MWP) test (Pettitt 1979) in the AnClim software for analysis time series. The estimates of the shift points of the contrasting phases, determined by different methods, mostly coincided with the conclusions made earlier for Russian rivers (Georgiadi et al 2018).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Hydrological regime shift (change) point detection for annual and seasonal water flow. The time boundaries between individual long phases of increased and decreased values of annual and seasonal water flow were determined using normalized cumulative deviation curves (Andreyanov 1959;Georgiadi et al 2018) in combination with the statistical homogeneity of the average values of the series using the Student t-test (Stepanek 2008;Lemeshko et al 2018) and Mann-Whitney-Pettitt (MWP) test (Pettitt 1979) in the AnClim software for analysis time series. The estimates of the shift points of the contrasting phases, determined by different methods, mostly coincided with the conclusions made earlier for Russian rivers (Georgiadi et al 2018).…”
Section: Methodsmentioning
confidence: 99%
“…It is a commonly used test primarily because it is distribution-free and insensitive to outliers and skewness in the data (Hedberg 2015;Yeh et al 2015;Sharma and Singh 2017). The well-known Student's t-test is a parametric test based on a comparison of the mean values of two samples with unknown but equal variances (Lemeshko et al 2018). This equality is confirmed by the results of Fisher criterion calculations for most characteristics considered in this paper for the rivers under study.…”
Section: Methodsmentioning
confidence: 99%