• The Korean Journal of Applied Statistics
• /
• v.25 no.3
• /
• pp.521-529
• /
• 2012

Simple canonical correlation biplot is a graphical method to investigate two sets of variables and observations in simple canonical correlation analysis. If we consider the set of covariate variables that linearly affects two sets of variables, we can apply the partial canonical correlation biplot in partial canonical correlation analysis that removes the linear effect of the set of covariate variables on two sets of variables. On the other hand, we consider the set of covariate variables that linearly affect one set of variables but not the other. In this case, if we apply the simple or partial canonical correlation biplot, we cannot clearly interpret other two sets of variables. Therefore, in this study, we will apply the semi-partial canonical correlation analysis of Timm (2002) and remove the linear effect of the set of covariate variables on one set of variables but not the other. And we suggest the semi-partial canonical correlation biplot for interpreting the semi-partial canonical correlation analysis. In addition, we will compare shapes and shape the variabilities of the simple, partial and semi-partial canonical correlation biplots using a procrustes analysis.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.8
• /
• pp.117-130
• /
• 2020

The purpose of this study is to provide benefits and ethically-rooted managerial implications based on theoretical underpinnings through an empirical study using correlation between wages, bank credit, government expenditure on economic growth, and employment via a case study in Indonesia. Besides that, managerial implications strive to provide benefits to the government regarding the importance of establishing effective and pro-development regulations to realize economic growth and employment through the efficient role of wages, bank credit, and government spending. This study uses secondary macroeconomic data from the period 2010-2019 with analysis using the correlation test with the Pearson correlation method. Out of eight hypotheses tested, two hypotheses do not have a significant correlation. The details of the statistical results obtained the following correlations: the correlation between bank credit and wages has a significant, but indirect (negative) correlation. However, the correlation between bank credit and economic growth has a direct and significant (positive) correlation. Government expenditure correlates positively with wages, but correlates negatively with bank credit. Wages are positively correlated with economic growth, but have no significant effect on employment. Finally, economic growth has a positive correlation with government expenditure, but does not have a significant correlation with employment.

• Journal of Oriental Neuropsychiatry
• /
• v.20 no.3
• /
• pp.89-119
• /
• 2009

Objectives : This study was to investigate the association of Pittsburgh Sleep Quality Index(PSQI), Insomnia Questionaire(IQ), Beck Depression Inventory(BDI) and Diagnos system of oriental medicine(DSOM) in the Insomnia Patients. Methods : For this study, we carried out PSQI, IQ, BDI and DSOM of 37 patients with insomnia who have come to Donguei oriental hospital of Donguei university from November 2008 to May 2009. And Using cross tabulation analysis, verified the association of PSQI, IQ, BDI and DSOM. Results : 1. The most Frequent Pathogenic Factor is blood-deficiency(血虛) in total patients. 2. The score of BDI has positive correlation with sc10 of deficiency of qi(氣虛), damp(濕), kdney(腎) in total patients. 3. The score of PSQI has positive correlation with zp of liver(肝) in total patients. 4. The score of PSQI has positive correlation with sc10 and zp of insufficiency of Yin(陰虛), and the score of BDI has positive correlation with sc10 of blood stasis(血瘀) and zp of liver(肝) in female patients. 5. The score of PSQI has positive correlation with sc10 of deficiency of qi(氣虛) and zp of heart(心), and the score of IQ has positive correlation with sc10 of liver(肝) in male patients. 6. The duration from onset in the group of 22-59years are longer than the group of 60-80 years and the duration of using hypnotics have positive correlation with total sleep time in 22-59years group. 7. The score of PSQI has positive correlation with zp of liver(肝) in 22-59years group. 8. The score of PSQI has positive correlation with the score of BDI in 60-80years group. 9. The score of BDI has positive correlation with sc10 of deficiency of qi(氣虛) and zp of blood-deficiency(血虛), and the score of IQ has positive correlation with zp of coldness(寒) in 60-80years group. 10. The score of IQ has positive correlation with sc10 and zp of dryness(燥) in below 6 Months Group. 11. The score of PSQI has positive correlation with the score of BDI in over 6 Months Group. 12. The score of PSQI has positive correlation with zp of liver(肝) in over 6 Months Group. 13. The score of IQ has positive correlation with sc10 of dryness(燥) in BDI 2nd Grade Group. 14. The score of BDI has positive correlation with sc10 of kidney(腎) and the age has positive correlation with zp of heart(心) in BDI 3rd Grade Group. 15. The age has positive correlation with sc10 of damp(濕) in BDI 4th Grade Group. Conclusions : This study provides insights into the complicated associations of the pattern of insomnia with depression and Diagnos system of oriental medicine. And especially this study showed apparent correlation between insomnia and depression in 60-80years group and over 6 months group.

• The Bulletin of The Korean Astronomical Society
• /
• v.39 no.2
• /
• pp.105.1-105.1
• /
• 2014

The study on linear correlation between auxiliary channels in LIGO data has been performed by using Pearson's correlation coefficient, generating a correlation map.

• Journal of Korea Water Resources Association
• /
• v.38 no.10 s.159
• /
• pp.851-859
• /
• 2005

Normalized cross-correlation (correlation coefficient) is a useful measure for pattern matching in PIV (Particle Image Velocimetry) analysis. Because it does not have a corresponding simple expression in frequency domain, several fast but inexact measures have been used. Among them, three measures of correlation for PIV analysis and the normalized cross-correlation were evaluated with a sample calculation. The test revealed that all other proposed correlation measures sometimes show inaccurate results, except the normalized cross-correlation. However, correlation coefficient method has a weakpoint that it requires so long time for calculation. To overcome this shortcoming, a fast and exact method for calculating normalized cross-correlation is suggested. It adopts Fast Fourier Transform (FFT) for calculation of covariance and the successive-summing method for the denominator of correlation coefficient. The new algorithm showed that it is really fast and exact in calculating correlation coefficient.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.5
• /
• pp.1951-1966
• /
• 2020

Recent advancements in mobile device technology have enabled real-time positioning so that mobile patterns of people and favorable locations can be identified and related researches have become plentiful. One of the fields of research is the relationship between the object properties and the favored location to visit. The object properties of a person include personality, which is a major property jobs, income, gender, and age. In this study, we analyzed the relationship between the human personality and the preference of the location to visit. We used Spearman's Rank correlation coefficient, one of the many methods that can be used to determine the correlation between two variables. Instead of using actual data values, Spearman's Rank correlation coefficient deals with the ranks of the two data sets. In our research, the personality and the location data sets are used. Our personality data is ranked in five ranks and the location data is ranked in 8 ranks. Spearman's Rank correlation coefficient showed better results compared to Pearson linear correlation coefficient and Kendall rank correlation coefficient. Using Spearman's correlation coefficient, the degree of the relationship between the personality and the location preference is found to be 43%.

• Geophysics and Geophysical Exploration
• /
• v.7 no.1
• /
• pp.7-13
• /
• 2004

In this paper, we demonstrate that Common Mid-Point (CMP) cross-correlation gathers of multi-channel and multi-shot surface waves give accurate phase-velocity curves, and enable us to reconstruct two-dimensional (2D) velocity structures with high resolution. Data acquisition for CMP cross-correlation analysis is similar to acquisition for a 2D seismic reflection survey. Data processing seems similar to Common Depth-Point (CDP) analysis of 2D seismic reflection survey data, but differs in that the cross-correlation of the original waveform is calculated before making CMP gathers. Data processing in CMP cross-correlation analysis consists of the following four steps: First, cross-correlations are calculated for every pair of traces in each shot gather. Second, correlation traces having a common mid-point are gathered, and those traces that have equal spacing are stacked in the time domain. The resultant cross-correlation gathers resemble shot gathers and are referred to as CMP cross-correlation gathers. Third, a multi-channel analysis is applied to the CMP cross-correlation gathers for calculating phase velocities of surface waves. Finally, a 2D S-wave velocity profile is reconstructed through non-linear least squares inversion. Analyses of waveform data from numerical modelling and field observations indicate that the new method could greatly improve the accuracy and resolution of subsurface S-velocity structure, compared with conventional surface-wave methods.

• The International Journal of Costume Culture
• /
• v.4 no.2
• /
• pp.159-164
• /
• 2001

Illusory Correlation Effect(ICE) is a cognitive error that arises from overestimating particular stimulus of an individual or a group. This may cause formation of stereotypes of the individual or the group and may also lead to generating various biased judgments. this study investigated the Illusory Correlation Effect of clothing style and considered the effect of Preview information. The results Provided evidence for the existence of an illusory correlation between a wearer and clothing style. Also, an illusory correlation was influenced information of stimuli attributes. This implies subjects perceived stimuli more distinctively when previous information was provided.

• Journal of the Korean Statistical Society
• /
• v.34 no.3
• /
• pp.185-195
• /
• 2005

This article is concerned with the intraclass correlation in survey sampling. From a design-based viewpoint the intraclass correlation is generalized to a finite population with unequal sized clusters. Under simple random cluster sampling the intraclass correlation is given in an explicit form, which is a generalization of the usual one. The range of it is found and the design effect is expressed by means of it. An example is given to compare the intraclass correlation with the homogeneity measure numerically, which shows that two measures are not the same except some limited cases.

• Honam Mathematical Journal
• /
• v.34 no.2
• /
• pp.219-230
• /
• 2012

In the paper, a symbolic construction is considered to define generalized Cantor-like sets. Lower and upper bounds for the correlation dimension of the sets with a regular condition are obtained with respect to a probability Borel measure. Especially, for some special cases of the sets, the exact formulas of the correlation dimension are established and we show that the correlation dimension and the Hausdorff dimension of some of them are the same. Finally, we find a condition which guarantees the positive correlation dimension of the generalized Cantor-like sets.