Thirteen Ways to Look at the Correlation Coefficient

Rodgers, Joseph Lee; Nicewander, W. Alan

doi:10.1080/00031305.1988.10475524

Cited by 1,680 publications

(1,061 citation statements)

References 10 publications

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“…In order to numerically evaluate the results L2-norm (Equation (49)) [23] and Pearson product-moment correlation coefficient (Equation (50)) [24] were used.…”

Section: Discussionmentioning

confidence: 99%

Analytical and numerical solutions of the Local Inertial Equations

Martins

Leandro

Djordjević

2016

International Journal of Non-Linear Mechanics

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Neglecting the convective terms in the Saint-Venant Equations (SVE) in flood hydrodynamic modelling can be done without a loss in accuracy of the simulation results. In this case the Local Inertial Equations (LInE), are obtained. Herein we present two analytical solutions for the Local Inertial Equations. The first is the classical instantaneous Dam-Break Problem and the second a steady state solution over a bump. These solutions are compared with two numerical schemes, namely the first order Roe scheme and the second order MacCormack scheme. Comparison between analytical and numerical results shows that the numerical schemes and the analytical solution converge to a unique solution. Furthermore, by neglecting the convective terms the original numerical schemes remain stable without the need for adding entropy correction, artificial viscosity or special initial conditions, as in the case of the full SVE.

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“…In order to numerically evaluate the results L2-norm (Equation (49)) [23] and Pearson product-moment correlation coefficient (Equation (50)) [24] were used.…”

Section: Discussionmentioning

confidence: 99%

Analytical and numerical solutions of the Local Inertial Equations

Martins

Leandro

Djordjević

2016

International Journal of Non-Linear Mechanics

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“…While -1.00 means a completely negative relationship -when the value of one variable goes up, the other follows a contrast trend, +1.00 means a complete positive correlationwhen the value of one a variable increase, the other also increase. When there is no relationship between the tested variables, the value will be 0.00 (Rodgers & Nicewander, 1988). *.…”

Section: Correlation Analysismentioning

confidence: 99%

Quality Management Practice Influences Organizational Performance: A Case of a Vietnamese SME

Nguyen¹,

Ninh²

2017

ASS

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Quality Management Practice (QMP) has been proven its positive impact on organizational performance and received significant attention in recent years. However, there is little or no studies on QMP and organizational performance in Vietnam, specifically in Binh Duong. This research concentrated on finding the degree to which five elements of QMP namely Leadership, Strategic Planning, Process Management, Human Resource Management and Customer Satisfaction influence organizational performance within the scope of a SME in Binh Duong, Vietnam. In this study, a survey was conducted involving internal human resources and external customers, resulting in a response rate of 100 percent. Data was collected from three different perspectives of managers, staff and customer to gain the best insight understanding. The results of the survey revealed that Strategic Planning, Human Resources Management and Customer Satisfaction take important role to play in increasing performance of this organization while the other fundamentals needs more improvement to fully implement QMP at the company. This research has the potential for further research to enhance the standards of QMP in Binh Duong area.

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“…The Pearson's correlation coefficient r (Lee Rodgers and Nicewander 1988) is a suitable parameter to describe the influence of the timing noise on Φ P , Φ H and Φ N quantitatively.…”

Section: Correlation Analysismentioning

confidence: 99%

Phase Evolution of the Crab Pulsar between Radio and X-Ray

Yan

Yuan

et al. 2017

ApJ

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We study the X-ray phases of the Crab pulsar utilizing the 11-year observations from the Rossi X-ray Timing Explorer, 6-year radio observations from the Nanshan Telescope, and the ephemeris from Jodrell Bank Observatory. It is found that the X-ray phases in different energy bands and the radio phases from Nanshan Telescope show similar behaviors, including long-time evolution and short-time variations. Such strong correlations between the X-ray and radio phases imply that the radio and X-ray timing noises are both generated from the pulsar spin that cannot be well described by the the monthly ephemeris from the Jodrell Bank observatory. When using the Nanshan phases as references to study the X-ray timing noise, it has a significantly smaller variation amplitude and shows no long-time evolution, with a change rate of (−1.1 ± 1.1) × 10 −7 periods per day. These results show that the distance of the X-ray and radio emission regions on the Crab pulsar has no detectable secular change, and it is unlikely that timing-noises resulted from any unique physical processes in the radio or X-ray emitting regions. The similar behaviors of the X-ray and radio timing noises also imply that the variation of the interstellar medium is not the origin of the Crab pulsar's timing noises, which is consistent with the results obtained from the multi-frequency radio observations of PSR B1540−06.

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Thirteen Ways to Look at the Correlation Coefficient

Cited by 1,680 publications

References 10 publications

Analytical and numerical solutions of the Local Inertial Equations

Analytical and numerical solutions of the Local Inertial Equations

Quality Management Practice Influences Organizational Performance: A Case of a Vietnamese SME

Phase Evolution of the Crab Pulsar between Radio and X-Ray

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