Properties of the Cox–Stuart Test for Trend in Application to Hydrological Series: The Simulation Study

Rutkowska, Agnieszka

doi:10.1080/03610918.2013.784988

Cited by 22 publications

(16 citation statements)

References 10 publications

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“…Statistical tests assist in identifying trends in stochastic or non-random arrangements. Understanding their potential or size permits us to make an accurate decision regarding already present trends [78]. The data was analyzed through various procedures, which involved performing tests to detect trends, occurrences, and stationarity of the data for the whole Punjab region, the results of which are shown in Table 4.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Climate Variability among Seasonal Trends Using In Situ Measurements: A Case Study of Punjab, Pakistan

et al. 2021

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This research assessed the changes in spatial patterns and the seasonal trends in temperature, precipitation, and relative humidity over 36 years (1979–2014) using Climate Forecast System Reanalysis (CFSR) datasets. The evaluation of climate deviations was the prime objective of this research. The augmented Dickey–Fuller Test (ADF) was used to scrutinize whether the data was either stationary or non-stationary. The results of the ADF test showed that all the datasets were found to be stationary at lag order 3. To observe undulations in the time series data, trend analyses were done using Sen’s slope (SS), Mann–Kendall (MK), and Cox and Stuart (CS) tests. For all the statistical analyses, we considered the 5% significance level (α = 0.05) and p < 0.05 to be statistically significant. We observed significant (p < 0.05) trends in spring (MAM) and autumn (SON) for minimum temperature (Tmin) in Punjab. We also noted a significant (p < 0.05) trend in precipitation during autumn (SON). Annually, all the variables showed a non-significant (p > 0.05) trend for Punjab, Pakistan, during the period 1979–2014. Climate variability, such as a decrease in precipitation, higher temperature, and relative humidity fluctuations, were the reasons for the imbalance in the sustainability of Punjab, Pakistan.

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Section: Discussionmentioning

confidence: 99%

Assessment of Climate Variability among Seasonal Trends Using In Situ Measurements: A Case Study of Punjab, Pakistan

et al. 2021

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“…The Mann-Kendall (Kendall, 1938;Mann, 1945) and the Cox-Stuart (McCuen, 2003;Niedzielski and Kosek, 2011;Rutkowska, 2015) tests showed an increasing trend in the Red River, Elizabeth River, and Arkansas River discharges and a declining trend in the maximum Nida River and minimum Zagożdżonka River discharges. Afterwards, using the Nash-Sutcliffe coefficient, the models with step and gradual trends were compared.…”

Section: Examplesmentioning

confidence: 94%

The Cucconi Test for Location-scale Alternatives in Application to Asymmetric Hydrological Variables

Rutkowska

Banasik

2015

Communications in Statistics - Simulation and Computation

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To identify location-scale trends, which environmental data often exhibit, location-scale tests have to be addressed. The aim of this article was to estimate size and power of the Cucconi rank-based test when applied to various skewed distributions, typical in hydrology. Results of the Monte Carlo simulation revealed great power for series with low coefficient of variation, time of change close to the middle, not very heavy tail, and with length of at least 60. Comparison to the Lepage test discovered larger usefulness of the Cucconi test for short series and change close to the middle. Several practical applications were presented.

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“…Since the data samples in this study are limited, the Cox-Stuart test is employed to determine the trend significance. Due to its good properties and simplicity, Cox-Stuart test is suitable for data series with relatively short length and weak trend [36], but its power declines when the data length and trend slope decrease and the data variability increases. To further guarantee the confidence of CoxStuart test, only the data series with linear regression R 2 >0.2 are remained to take the test.…”

Section: Trend Analysismentioning

confidence: 99%

Space view of the decadal variation for typical air pollutants in the Pearl River Delta (PRD) region in China

Wang

Shao

Chen

et al. 2016

Front. Environ. Sci. Eng.

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The Pearl River Delta (PRD) is one of the most industrialized, urbanized and populated regions in China, and thus has been long suffering from severe air pollutions. Space data provide a unique perspective for investigating the atmospheric environment at a regional scale. By utilizing multiple satellite retrievals from 2005 to 2013, this study presented, for the first time, the spatial patterns and temporal trends of typical air pollutants over PRD and its vicinity. As viewed from space, aerosol optical depth (AOD), NO 2 and SO 2 all had their higher values at the central part of PRD, and showed clear descending gradients as moving to the outskirt of this region. As to the inter-annual variation, all these pollutants had decreasing trends in PRD during the study period, which generally agreed with the relevant in situ measurements. However, the satellite retrievals differed from ground measurements when addressing NO 2 and SO 2 in the vicinity of PRD. This work also provides the inter-comparison among PRD and three other metropolitan clusters in China: PRD had relatively high AOD, moderate NO 2 and low SO 2 levels, and it was the only region achieving the effective reduction of NO 2 and SO 2 during last decade. Unlike the previous three pollutants, HCHO observed by satellite showed very special patterns: it had a relatively homogeneous spatial distribution over both of PRD and its vicinity, and presented an opposite increasing trend from 2005 to 2010. Moreover, PRD had the highest HCHO level among all the metropolitan clusters, hinting a considerable contribution of biogenic origins of HCHO in PRD.

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Properties of the Cox–Stuart Test for Trend in Application to Hydrological Series: The Simulation Study

Cited by 22 publications

References 10 publications

Assessment of Climate Variability among Seasonal Trends Using In Situ Measurements: A Case Study of Punjab, Pakistan

Assessment of Climate Variability among Seasonal Trends Using In Situ Measurements: A Case Study of Punjab, Pakistan

The Cucconi Test for Location-scale Alternatives in Application to Asymmetric Hydrological Variables

Space view of the decadal variation for typical air pollutants in the Pearl River Delta (PRD) region in China

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