• Title/Summary/Keyword: Kendall's correlation coefficient

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An effective evaluation method for the subjective sensibility of linen-like silk (의마 가공된 견직물의 효율적인 주관적 감성평가 방법)

  • You, Ji-Ho;Lee, Jung-Soon
    • Korean Journal of Human Ecology
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    • v.15 no.3
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    • pp.439-447
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    • 2006
  • The purpose of this study is to explore the accuracy and reliability of subjective evaluation instruments in evaluating sensibility of similar fabrics, Kendall's coefficient of concordance W (agreement among subjects) and Spearman rank correlation coefficient (reproducibility after 1 week) were used to evaluate which one is more efficient. Eight kinds of linen-like silk fabrics finished with polyurethane resin were used, Subjective evaluation instruments such as rating scale method, contrasting method against a control, rank ordering method, paired comparison and Quad analysis were used, 'Stiffness and Pliability' and 'Preference of summer fabric' were estimated, From the result of subjective stiffness and pliability, which are effective on objective properties of fabric, the rating scale method in Kendall's coefficient of concordance W and Quad analysis in Spearman rank correlation coefficient were given the highest score, From the result of subjective preference of summer fabric, which are effective on individual sensibility, contrasting method against a control in Kendall's coefficient of concordance W and Quad analysis in Spearman rank correlation coefficient revealed the highest score, Regarding the accuracy, reliability and efficiency, Quad analysis was an efficient method for subjective evaluation of linen-like silk fabrics.

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An Analysis of Correlation between Personality and Visiting Place using Spearman's Rank Correlation Coefficient

  • Song, Ha Yoon;Park, Seongjin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.1951-1966
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    • 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%.

The Analysis of Correlation Between COVID-19 and Seoul Small Business Commercial Districts (코로나 19와 서울 소상공인 상권의 상관관계 분석)

  • Kim, Jae-Ho;Kim, Jang-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.3
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    • pp.384-388
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    • 2021
  • Currently, whether in a domestic or international sphere, many small businesses are suffering due to COVID-19. The grim reality is that several businesses are shutting down. While the national disaster relief grant was used to contain the damages by encouraging consumer spending, it has become difficult to prevent closures of small businesses. As of September 2020, more than 20,000 stores have closed in Seoul due to the COVID-19 pandemic. There has also been an increase in the number of people with depression caused by the COVID-19 blues. This issue is not only confined to Seoul in the Republic of Korea, but is influencing all other areas affected by the pandemic. As the number of COVID-19 patients increase, the number of open stores is decreasing steadily. The analysis of the correlation coefficient of Pearson, Spearman, and Kendall suggests a negative correlation between the number of COVID-19 patients and the number of stores in business.

Correlation between femoral rotation and clinical results after high tibial osteotomy in primary osteoarthritis patient (퇴행성 골관절염 환자에서 시행한 근위 경골 절골술 후 대퇴골의 회전과 임상결과의 상관관계)

  • Park, Sang Eun;Mun, Sang Won
    • Journal of Korean Orthopaedic Sports Medicine
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    • v.10 no.2
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    • pp.100-104
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    • 2011
  • The purpose of this article is to examine correlation between femoral rotational angle and subjective satisfaction of high tibial osteotomy outcome of the range of motion of knee joint. The subjects were 15 patients (6 males, 9 females) with primary osteoarthritis undergoing high tibial osteotomy from June of 2004 to August of 2008. They were CT tested on the knee joint before and after high tibial osteotomy. TEA (Fig. 1) and Akagi's line (Fig. 2) are analyzed as percentages. The Kendall's and Spearman's nonparametric correlation coefficient were used for the statistical tests with 0.5 level of significance. The result reveals that femoral rotational angle correlates with not the range of motion of knee joint but subjective satisfaction of the patients. Therefore, this will enable patients and physicians to have better clinical outcome.

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Variable Selection Based on Direction Vectors

  • Kyungmee Choi
    • Communications for Statistical Applications and Methods
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    • v.5 no.1
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    • pp.25-33
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    • 1998
  • We review a multivariate version of Kendall's tau based on direction vectors of observations. And with this statistic we propose an analog of the forward variable selection method which selects a set of independent variables for further studies to build the eventual predicting model. This method does not assume the distributions of observations and the linear model and it is strong to the outliers with high asymptotic efficiencies relative to the parametric Pearson's correlation coefficient.

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Active Days around Solar Minimum and Solar Cycle Parameter

  • Chang, Heon-Young
    • Journal of Astronomy and Space Sciences
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    • v.38 no.1
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    • pp.23-29
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    • 2021
  • Utilizing a new version of the sunspot number and group sunspot number dataset available since 2015, we have statistically studied the relationship between solar activity parameters describing solar cycles and the slope of the linear relationship between the monthly sunspot numbers and the monthly number of active days in percentage (AD). As an effort of evaluating possibilities in use of the number of active days to predict solar activity, it is worthwhile to revisit and extend the analysis performed earlier. In calculating the Pearson's linear correlation coefficient r, the Spearman's rank-order correlation coefficient rs, and the Kendall's τ coefficient with the rejection probability, we have calculated the slope for a given solar cycle in three different ways, namely, by counting the spotless day that occurred during the ascending phase and the descending phase of the solar cycle separately, and during the period corresponding to solar minimum ± 2 years as well. We have found that the maximum solar sunspot number of a given solar cycle and the duration of the ascending phase are hardly correlated with the slope of a linear function of the monthly sunspot numbers and AD. On the other hand, the duration of a solar cycle is found to be marginally correlated with the slope with the rejection probabilities less than a couple of percent. We have also attempted to compare the relation of the monthly sunspot numbers with AD for the even and odd solar cycles. It is inconclusive, however, that the slopes of the linear relationship between the monthly group numbers and AD are subject to the even and odd solar cycles.

Inter-Rater Reliability of the Modified Ashworth Scale of Spasticity (경련성 (spasticity) 평가를 위한 Modified Ashworth Scale의 측정자간 신뢰도)

  • Yi, Chung-Hwi;Current, Marion E.
    • Physical Therapy Korea
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    • v.1 no.1
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    • pp.1-9
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    • 1994
  • This study was performed to determine the inter-rater reliability of manual tests of elbow, knee flexor, and ankle dorsiflexor muscle spasticity graded on the Modified Ashworth Scale. Two raters each independently graded the spasticity of 32 patients with intracranial lesions after moving the paretic limb passively through the available range of motion. The patients were asked to simultaneously squeeze therapeutic putty with their non-paretic hand for reinforcement. The ratings were compared by the Wilcoxon matched pairs signed-rank test and by the Kendall's coefficient of rank(tau) correlation. There was singificant correlation between two raters for spasticity at the elbow, knee flexor, and ankle dorsiflexor. The correlations of the two raters ranged from .6746 to .9308. The highest correlation was for the elbow with reinforcement and the lowest was for the knee without reinforcement. Poorer correlation was evident in the knee joint. The positive results of this study encourage the continued use of manual tests of muscle spasticity, using the Modified Ashworth Scale.

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Relationships between recall, organizational strategy, and metamemory in young children (아동의 회상수행, 조직화 책략 및 상위기억간의 관계)

  • Cho, Mi Hae
    • Korean Journal of Child Studies
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    • v.10 no.1
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    • pp.11-25
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    • 1989
  • The purpose of the present research was to study developmental trends in and relationships between recall, organizational strategy, and metamemory in young children. The subjects were 84 children, 14 boys and 14 girls at each age level, 4, 6, and 8. Two tasks (memory task & metamemory task) were used to assess children's recall, organizational strategy, and metamemory based on Sodian et al.(1986). All subjects were randomly assigned either to the play-and-remember condition or to the sort-and-remember condition. The two tasks were administered to children individually with the memory task followed by the metamemory task. The data were analysed by the statistical methods of two-way ANOVA, Student-Newman-Keuls post hoc test, Mann-Whitney U test, Kruskal-Wallis test, Pearson's correlation coefficient and Kendall's Tau. Children's recall (free, conceptually-cued, and perceptually-cued) level increased with age. There were significant experimental condition differences in free recall and conceptually-cued recall, but not in perceptually-cued recall. Children's organizational strategy showed differential developmental trends by experimental condition. Use of conceptual strategy at both encoding and retrieval increased with age in both experimental conditions. Use of perceptual strategy (PS) at encoding showed an inverted-U age effect in the play-and-remember condition, but PS decreased linearly with age in the sort-and-remember condition. There were significant age differences in metamemory, and there were significant correlations between recall and organizational strategy.

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Storm Surge Analysis using Archimedean Copulas (Copulas에 기반한 우리나라 동해안 폭풍해일 분석)

  • Hwang, Jeongwoo;Kwon, Hyun-Han
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.421-421
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    • 2017
  • In order to secure the safety of coastal areas from the continuous storm surge in Korea, it is important to predict the wave movement and properties accurately during the storm event. To improve the accuracy of the storm simulation, and to quantify coastal risks from the storm event, the dependencies between wave height, wave period, and storm duration should be analyzed. In this study, therefore, copulas were used to develop multivariate statistical models of sea storms. A case study of the east coast of Korea was conducted, and the dependencies between wave height, wave period, water level, storm duration and storm interarrival time were investigated using Kendall's tau correlation coefficient. As a result of the study, only wave height, wave period, and storm duration appeared to be correlated.

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Analysis of long-term water level change of Dongrae hot spring using time series methods (시계열 방법을 이용한 동래온천 수위의 장기적인 변화 분석)

  • Jeon, Hang-Tak;Hamm, Se-Yeong;Cheong, Jae-Yeol;Lee, Cheol-Woo;Lee, Jong-Tae;Lim, Woo-Ri
    • Journal of the Geological Society of Korea
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    • v.54 no.5
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    • pp.529-544
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    • 2018
  • Dongrae hot spring belongs to the residual magma type and has a long history of bathing since the Silla dynasty in Korea. Due to long development of hot spring water, it is expected that the amount of hot spring water in Dongrae hot spring has been changed. In this study, long-trem water level data of Dongrae hot spring were examined for recognizing the change of the hot spring. By the fluctuation analysis of the hot spring water level from January 1992 to July 2018, the maximum and minimum annual drawdowns of no. 27 well were 137.70 and 71.60 meters, respectively, with an average drawdown of 103.39 m. On the other hand, the maximum and minimum annual drawdowns of no. 29 well were 137.80 and 71.70 meters, with an average drawdown of 103.49 m. Besides, drawdown rate became bigger in recent years. As a result of analyzing autocorrelation of the two wells, the correlation coefficient ranged from 0.919 to 0.991, showing seasonal groundwater level fluctuation. The cross correlation analysis between water level and precipitation as well as water level and hot spring discharge resulted in the correlation coefficients of -0.280 ~ 0.256 and 0.428 ~ 0.553, respectively. Therefore, using Dongnae hot-spring water level data from 1992 to 2018, the Mann-Kendall test and Sen's test showed that the continuous decline of water level was mainly caused by the pumping of the hot spring water among various reasons.