Implementation of Kolmogorov–Smirnov<i>P</i>-value computation in Visual Basic®: implication for Microsoft Excel® library function

Okeniyi, Joshua Olusegun; Okeniyi, Elizabeth Toyin

doi:10.1080/00949655.2011.593035

Cited by 48 publications

(18 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compatibility of the dataset from each test-variable per sample was also investigated using the Kolmogorov-Smirnov goodness-of-fit test-techniques [53,54]. Measurements of central tendencies, µ, and measurements of dispersions, σ, for each of the distribution fittings of datasets were obtained by maximum likelihood estimation (MLE) procedures [55] which for the Normal distribution employs the well-known formula [51,56] for µ Normal in Equation (1) and σ Normal in Equation (2):…”

Section: Initiation Of Corrosion Test-data Analyses-statistical Distrmentioning

confidence: 99%

Effects of Phyllanthus muellerianus Leaf-Extract on Steel-Reinforcement Corrosion in 3.5% NaCl-Immersed Concrete

Okeniyi

Loto

Popoola

2016

Metals

View full text Add to dashboard Cite

This paper investigates Phyllanthus muellerianus leaf-extract effects on steel-reinforcement corrosion in concrete immersed in 3.5% NaCl, simulating saline/marine environment. Different concentrations of the leaf-extract were admixed in steel-reinforced concrete samples, which were immersed, with normal control, in the test-environment, while positive control samples were immersed in distilled water. Electrochemical measurements of corrosion-rate (by linear-polarizationresistance instrument), corrosion-current (by zero-resistance-ammeter) and corrosion-potential (by high impedance multimeter) were obtained for assessing the reinforcing-steel corrosion. Analyzed results showed that the corrosion-rate exhibited excellent correlation (R = 98.82%, Nash-Sutcliffe Efficiency = 97.66%, ANOVA p-value = 0.0006) with function of the admixture concentration and of the corrosion noise-resistance (ratio of corrosion-potential and corrosion-current standard deviations). The 0.3333% Phyllanthus muellerianus (per weight of cement) exhibited optimal efficiency, η = 97.58% ± 1.28% (experimental) or 95.33% ± 4.25% (predicted), at inhibiting concrete steel-reinforcement corrosion in the test-environment, which compares well with the positive control performance model, η = 97.96% ± 0.03%. The experimental and predicted models followed the Langmuir adsorption isotherm, which indicated physisorption as the Phyllanthus muellerianus leaf-extract adsorption mechanism on the reinforcing-steel. These support suitability of the N-, S-, and O-containing and π-electron rich Phyllanthus muellerianus leaf-extract as an environmentally-friendly inhibitor for effective corrosion-protection of steel-reinforcement in concrete designed for the saline/marine environment.

show abstract

Section: Initiation Of Corrosion Test-data Analyses-statistical Distrmentioning

confidence: 99%

Effects of Phyllanthus muellerianus Leaf-Extract on Steel-Reinforcement Corrosion in 3.5% NaCl-Immersed Concrete

Okeniyi

Loto

Popoola

2016

Metals

View full text Add to dashboard Cite

show abstract

“…As per ASTM G16-95 R04 [32], measured corrosion test-data were subjected to the Normal and the Weibull distribution fittings to which the compatibility of the scatter of the test-data was also studied using the Kolmogorov-Smirnov goodness-of-fit (K-S GoF) statistics [33][34]. The expression for estimating the Normal mean, µ, and the Normal standard deviation, σ, is well known.…”

Section: Statistical Analysis Of Measured Corrosion Test-datamentioning

confidence: 99%

Electrochemical Performance of Phyllanthus Muellerianus on the Corrosion of Concrete Steel-reinforcement in Industrial/Microbial Simulating-environment

Okeniyi¹,

Loto²,

Popoola³

2014

Port. Electrochim. Acta

View full text Add to dashboard Cite

Electrochemical monitoring techniques were employed in this study to assess anticorrosion performance of Phyllanthus muellerianus leaf-extract on concrete steelreinforcement in 0.5 M H 2 SO 4 , used for simulating industrial/microbial environment. For this, steel-reinforced concretes admixed with different concentrations of the natural plant leaf-extract were partially immersed in the acidic test-solution and subjected to electrochemical monitoring of corrosion potential, corrosion current and corrosion rate. Test responses analysed as per ASTM G16-95 R04, showed that the corrosion rate correlated, r = 84.93%, ANOVA p-value = 0.0403, with the leaf-extract concentration admixed in concrete and the ratio of the standard deviation of potential to the standard deviation of current. These identified the 0.3333% Phyllanthus muellerianus (per weight of cement) with optimum effectiveness at inhibiting steel-reinforcement corrosion both by the experimental model, η = 91.66±2.51%, and by the prediction from the correlation fitting model, η = 85.54±14.44%. Fittings of both the experimental and the predicted data followed the Flory-Huggins and the Frumkin adsorption isotherms which suggest prevalent mechanism of physical adsorption (physisorption) of the extract on steel-rebar surface. These support the use of Phyllanthus muellerianus as environmentally-friendly admixture for inhibiting concrete steel-reinforcement corrosion in the industrial/microbial service-environment.

show abstract

“…Each dataset of absorbance from the tested systems was subjected to the statistical analyses of the Normal, the Gumbel and the Weibull probability density functions [24][25][26][27][28][29]. For each of these distributions, dataset compatibility was tested using the Kolmogorov-Smirnov goodness-of-fit, KS-GoF, test-statistics [30][31][32][33][34][35], also at the p ≥ 0.05 threshold of significance level. For ascertaining whether the duplicated raw data of absorbance measurements from each system of crude oil polluted soil design exhibited significant difference, or otherwise, from one another, the analytical method of the Student's t-test statistics was applied to the data [24,[36][37][38].…”

Section: Methodsmentioning

confidence: 99%

Bioremediation: Data on biologically-mediated remediation of crude oil (Escravos Light) polluted soil using Aspergillus niger

Ojewumi

Okeniyi

et al. 2018

Chemical Data Collections

Self Cite

View full text Add to dashboard Cite

Implementation of Kolmogorov–SmirnovP-value computation in Visual Basic®: implication for Microsoft Excel® library function

Cited by 48 publications

References 15 publications

Effects of Phyllanthus muellerianus Leaf-Extract on Steel-Reinforcement Corrosion in 3.5% NaCl-Immersed Concrete

Effects of Phyllanthus muellerianus Leaf-Extract on Steel-Reinforcement Corrosion in 3.5% NaCl-Immersed Concrete

Electrochemical Performance of Phyllanthus Muellerianus on the Corrosion of Concrete Steel-reinforcement in Industrial/Microbial Simulating-environment

Bioremediation: Data on biologically-mediated remediation of crude oil (Escravos Light) polluted soil using Aspergillus niger

Contact Info

Product

Resources

About