Analysing the concrete compressive strength using Pearson and Spearman

Thirumalai, Chandrasegar; Chandhini, Swapna Anupriya; Vaishnavi, M.

doi:10.1109/iceca.2017.8212799

Cited by 49 publications

(27 citation statements)

References 7 publications

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“…Cronbach's alpha Based on the Typified Elements N of Elements 0.977 0.977 3 The Figure 1 is a graphic with the ranking comparison for PF-DA, PF MOORA and PF-TOPSIS: In accordance with example 2, using the PF-CODAS method, the results show the following: > > > . Table 6 shows the rankings to calculate the Spearman correlation coefficient [28,29], for illustration example 2: In accordance with example 2, using the PF-CODAS method, the results show the following: Table 6 shows the rankings to calculate the Spearman correlation coefficient [28,29], for illustration example 2: When n = 4, and…”

Section: Cronbach's Alphamentioning

confidence: 60%

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Dimensional Analysis under Pythagorean Fuzzy Approach for Supplier Selection

et al. 2019

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The supplier appraisal process is one of the most important decision problems for companies focused on improving supply chain costs. Supplier selection is typically a multi-criteria decision making (MCDM) issue, as there is a lot of uncertain information. In order to overcome this issue, The Pythagorean Fuzzy Set is applied to handle the uncertainties involved in comparing the alternatives, criteria and opinions of decision makers. At the same time, a potential of Dimensional Analysis is a technique which deploys an association of the criteria capturing the interrelationship normally present in MCDM. In this sense, the purpose of this paper is to evaluate the suppliers in a supply chain cycle using Pythagorean Fuzzy Set and Dimensional Analysis. Finally, the applicability of the proposed method is illustrated through numerical examples, and a validation via Spearman correlation and Cronbach’s alpha.

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Section: Cronbach's Alphamentioning

confidence: 60%

“…The Spearman correlation coefficient is based on the ranked values for each variable rather than the raw data. Spearman correlation is often used to evaluate relationships involving ordinal variables [28]. Table 4 shows the rankings to calculate the Spearman correlation coefficient [28,29] is given by: When n = 5, and…”

Section: Comparative Analysismentioning

confidence: 99%

Dimensional Analysis under Pythagorean Fuzzy Approach for Supplier Selection

et al. 2019

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“…The Pearson correlation estimates the linear relationship between two variables (Thirumalai, et al, 2017). The values of the Pearson correlation coefficient, r, range from +1 to -1.…”

Section: Hypotheses Testingmentioning

confidence: 99%

The relationship between organizational changes and job satisfaction in the Jordanian telecommunication industry

Hayajneh

Suifan

Obeidat

et al. 2019

JSS

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The aim of this paper is to investigate the relationship between organizational change and job satisfaction in telecommunication companies in Jordan. A convenience sample was selected from among employees working at three communication companies (3636 employees) in Jordan. The findings indicate a significant positive relationship between organizational change and job satisfaction. to increase employees’ job satisfaction, their level of job stress during organization change operations in telecommunication companies must be decreased.

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“…However, the effects of drilled solid on mud rheology have been observed but not statistically proven. There are many statistical correlation methods that can justify the relationship between data such as Pearson product-moment correlation coefficient method for normal distribution data and Spearman rank correlation coefficient method for non-normal distribution data [9][10][11][12][13][14]. The decision of which method to be used for analysis was made based on the normality of the data.…”

Section: Introductionmentioning

confidence: 99%

Statistical Relationship of Drilled Solid Concentration on Drilling Mud Rheology

Sauki¹,

Khamaruddin²,

Irawan³

et al. 2020

ARFMTS

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Drilled solid is a continuous contaminant in drilling mud during drilling operation. The purpose of this study is to evaluate the statistical correlation of drilled solid concentration on mud rheology. A Spearman's correlation was used to determine the relationship between 31 mud rheology data and the drilled solid concentration data from North Kuwait Field. Four rheological models were used to compare the rheological behaviour of the drilled solid-laden drilling fluid which were Bingham Plastic, Power Law, Herschel-Bulkley and Robertson-Stiff Model. Results showed that a positive monotonic relationship was observed between all drilled solid concentration and mud rheology parameters. An excessive relationship was observed between drilled solid concentration and mud density with a Spearman coefficient (ρ) of 0.942. Other mud rheology parameters such as plastic viscosity, yield point and gel strength show a significant (high) relationship with a spearman coefficient (ρ) in between 0.833 and 0.704. Flow curves of the drilled solid-laden drilling fluids used in this study can be well depicted by the Herschel-Bulkley and Robertson-Stiff Model. These results are not only support the justifiable attention given to address drilled solid impact to the mud rheology, but they also proposed a statistically approach in preparing data for analysis.

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Analysing the concrete compressive strength using Pearson and Spearman

Cited by 49 publications

References 7 publications

Dimensional Analysis under Pythagorean Fuzzy Approach for Supplier Selection

Dimensional Analysis under Pythagorean Fuzzy Approach for Supplier Selection

The relationship between organizational changes and job satisfaction in the Jordanian telecommunication industry

Statistical Relationship of Drilled Solid Concentration on Drilling Mud Rheology

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