Testing noisy numerical data for monotonic association

Bodenhofer, Ulrich; Krone, Martin; Klawonn, Frank

doi:10.1016/j.ins.2012.11.026

Cited by 20 publications

(13 citation statements)

References 35 publications

(46 reference statements)

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“…Another option, which as far as we know has not been used in the area of monitoring GWBs, is RoCoCo (robust rank correlation coefficients), proposed by Bodenhofer [76,77], who presents a set of measures to test for monotonic associations between two observables. These robust rank correlation measures are based on fuzzy orderings, and the tests developed seem to outperform the classical variants because they are more robust for small samples when facing noise.…”

Section: Nonparametric Methodsmentioning

confidence: 99%

Trend Assessment for Groundwater Pollutants: A Brief Review and Some Remarks

Oliva

Vegas

Civit

et al. 2015

The Handbook of Environmental Chemistry

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Groundwater is a valuable natural resource that needs to be assessed and protected. The European Union (EU) adopted new water legislation that includes the Water Framework Directive (WFD) and the Groundwater Daughter Directive (GWD). Both require the identification of sustained increasing pollution trends and their reversal. This is the second pillar of the WFD: such trends have to be identified for any pollutants that result in groundwater being characterized as at risk of not meeting the environmental objectives. Measuring these trends is necessary to determine and understand whether changes in land use, fertilizer application, pollution history, or climate change are affecting groundwater quality. However, in many cases, groundwater data series may not meet minimum requirements for classical statistical procedures employed in trend assessment: among other obstacles, data may be sparse, with missing or extreme values, censored data, seasonal effects, and autocorrelation. The aim of this chapter is to present and review several statistical methodologies that have been proposed and applied in recent years to deal with groundwater trend assessment, discussing the relative advantages and disadvantages of each one.

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Section: Nonparametric Methodsmentioning

confidence: 99%

Trend Assessment for Groundwater Pollutants: A Brief Review and Some Remarks

Oliva

Vegas

Civit

et al. 2015

The Handbook of Environmental Chemistry

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“…The presence of Granger causality [44] does not assure a cause-effect relation. It may be that a third element exists that is not represented in the data that causes this.…”

Section: Granger Causalitymentioning

confidence: 99%

“…From the point of view of the model validation, this assures there exists a relation between both time series. Going further, and considering that the model is based on time series and the model and the system must be related, a Robust Rank Correlation Coefficient and a Corresponding Test (implemented on the ROCOCO R package) can be performed [44]. This test indicates that between both time series there clearly exists a correlation, showing that the model is representing the behavior of the system at some level of correctness.…”

mentioning

confidence: 99%

Solution Validation for a Double Façade Prototype

Casas

Soriano

et al. 2017

Energies

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A Solution Validation involves comparing the data obtained from the system that are implemented following the model recommendations, as well as the model results. This paper presents a Solution Validation that has been performed with the aim of certifying that a set of computer-optimized designs, for a double façade, are consistent with reality. To validate the results obtained through simulation models, based on dynamic thermal calculation and using Computational Fluid Dynamic techniques, a comparison with the data obtained by monitoring a real implemented prototype has been carried out. The new validated model can be used to describe the system thermal behavior in different climatic zones without having to build a new prototype. The good performance of the proposed double façade solution is confirmed since the validation assures there is a considerable energy saving, preserving and even improving interior comfort. This work shows all the processes in the Solution Validation depicting some of the problems we faced and represents an example of this kind of validation that often is not considered in a simulation project.

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“…Among the different alternatives to measure correlations, it is possible to highlight the not assume a specific parametric model or specific distributions for the data [42]. Thus, the Spearman's ρ and Kendall's τ are considered to be suited to evaluate the correlation between the surface roughness and the feed rate, cutting speed and slot width.…”

Section: Surface Roughnessmentioning

confidence: 99%

Experimental investigation on finish intermittent turning of UNS M11917 magnesium alloy under dry machining

Carou

Rubio

Lauro

et al. 2014

Int J Adv Manuf Technol

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An experimental investigation on finish intermittent turning of UNS M11917 magnesium alloy under dry machining is presented. The objective of the study is the analysis of the chip morphology, surface quality and temperature when varying cutting conditions. The intermittent cutting process is analysed using three different workpieces (one continuous and two discontinuous). The experimental plan is based on full factorial designs. Main results of the investigation include the identification of the feed rate as the most important parameter to explain the surface roughness, while no clear influence was found for the cutting speed and slot width. The maximum temperature measured on the tool during the tests was below 50°C in all of the tests. These low temperature values are explained by the low machining times, depths of cut and cutting speeds used. Thus, for the range of the cutting parameters tested, finish operations can be performed using dry machining under safe conditions. In addition, it was identified that the increase of the depth of cut and feed rate led to higher maximum temperatures, while the increase of the slot width led to lower values. Finally, the morphology of the chips can be classified as segmented chips, including the arc, elemental and spiral chips. Thus, in terms of machining, these chips can be considered as favourable, but, in terms of ignition, these chips are more likely to ignite.

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Testing noisy numerical data for monotonic association

Cited by 20 publications

References 35 publications

Trend Assessment for Groundwater Pollutants: A Brief Review and Some Remarks

Trend Assessment for Groundwater Pollutants: A Brief Review and Some Remarks

Solution Validation for a Double Façade Prototype

Experimental investigation on finish intermittent turning of UNS M11917 magnesium alloy under dry machining

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