• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.875-888
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• 2008

Mosaic plots, proposed by Hartigan and Kleiner (1981, 1984), are very useful in visualizing categorical data. In mosaic plot, multi-way classified cell frequencies are represented by rectangles with proportional area. The plot is easy to understand while preserving the information contained in the data. Plot's appearance, however, does change substantially depending on the order of variables and the orders of categories with variable put into the plot. In this study, we propose the algorithms for ordering variables and categories of the categorical data to be explored via mosaic plots. We demonstrate our methods to three well-known datasets: Titanic, Housing and PreSex.

• The Korean Journal of Applied Statistics
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• v.26 no.1
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• pp.37-47
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• 2013

A Q-Q plot is an effective and convenient graphical method to assess a distributional assumption of data. The primary step in the construction of a Q-Q plot is to obtain a closed-form expression to represent the relation between observed quantiles and theoretical quantiles to be plotted in order that the points fall near the line y = a + bx. In this paper, we introduce a Q-Q plot to assess goodness-of-fit for inverse Gaussian distribution. The procedure is based on the distributional result that a transformed random variable $Y={\mid}\sqrt{\lambda}(X-{\mu})/{\mu}\sqrt{X}{\mid}$ follows a half-normal distribution with mean 0 and variance 1 when a random variable X has an inverse Gaussian distribution with location parameter ${\mu}$ and scale parameter ${\lambda}$. Simulations are performed to provide a guideline to interpret the pattern of points on the proposed inverse Gaussian Q-Q plot. An illustrative example is provided to show the usefulness of the inverse Gaussian Q-Q plot.

• Journal of the Korean Data and Information Science Society
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• v.15 no.3
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• pp.531-542
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• 2004

Principal component analysis and cluster analysis were conducted to comprehensively evaluate the water quality of Busan coastal area with the data collected seasonally by the analysis of surface water at 10 stations from 1997 to 2003. We noted that the first principal component was regarded as a factor related with the input of nutrient-rich fresh water and the second principal component as meteorological characteristics. Also we obtained that water qualities of station 4 and 9 were different from those of other stations in Busan coastal area.

• The Korean Journal of Applied Statistics
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• v.8 no.1
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• pp.61-74
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• 1995

These days, many kinds of graphical methods have been developed, and it is possible to get information directly from data. Especially, R-code (Cook and Weisberg, 1994) make it possible to draw various kinds of two and three dimensional plots, and to rotate the axis of the plots. But the maximum dimensional of the plot is three, so we can not draw plot of one response variable with more than three explanatory variables. Li(1991, 1992) has developed a method to reduce the dimension of the explanatory variables, so it is possible to draw lower dimensional plots to get information of the full explanatory variables. One of the dimension reduction method developed by Li is pHd. In this paper, we have tried to apply the pHd method for the model with multivariate response.

• Cartoon and Animation Studies
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• s.50
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• pp.187-214
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• 2018

The problem-based storytelling of the three-act structure, which sees the plot of the story as a solution to the problem of the character, has been the guide of creation to the creator of popular stories since Aristotle. Also problem-based storytelling has served as a schema that provides dramatic catharsis to the audience of the story, and one of the dramatic catharsis It has been working as a schema. This problem - based storytelling has been used as a structure for story production programs that have been developed since the 1980s. However, this story authoring program is focused only on the external problem of the story, but it has the limitation of producing the story that can not solve the internal problem of the character and provide the catharsis. This paper analyze the plot structure of 'StoryHelper', which is a domestic story authoring program, and the ending of 900 films, both domestic and foreign, which are database in 'StoryHelper'. 'StoryHelper' presents a problem-based plot structure that can consider not only external problems but also internal problems by applying causality and mythical episodes. The structure of these plots is based on the parameters of external problem solving, unresolved internal problem solving, and unresolved variables maturity plot(542films), disillusion plot(111films), education plot(132films), tragedy plot(205films). The results of this analysis are expected to provide a meaningful structure for plot-based creative and creative program development.

• Journal of the Korean Society for Nondestructive Testing
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• v.33 no.2
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• pp.226-231
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• 2013

펄스 열화상에서 서모그램 등 데이터의 플롯에 의해 표시되어지는 로그-로그 플롯을 활용해서 특정하게 정류(rectification)하여 펄스 서모그램을 잘 사용하도록 정의하고 열화상 신호복원(thermographic signal reconstruction; TSR) 기법에 의해 실험 데이터를 피팅하도록 한다, 이와 같은 물리적인 해석 및 수학적 대수기법에 의해 펄스열화상은 단순하면서도 효율적인 정규화가 가능하게 될 수 있다. 펄스열화상의 최적화는 로그대수 유도로 비교되는 콘트라스트(contrast)의 초기 검출과 TSR의 사용이라는 두 가지 돋보이는 접근 방법에 기반하여 이루어진다. 펄스자극열화상을 최적화하기 위해서 두 개의 매개변수, 즉 결함 콘트라스트의 신호 대 잡음비와 추출에 대한 선인식을 고려하는 것이 필요하다.

• The Korean Journal of Applied Statistics
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• v.20 no.2
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• pp.345-355
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• 2007

PLS methods are suited for regressing q-variate Y variables on p-variate X variables even in the presence of multicollinearity problem among X variables. Consequently, they are useful for analyzing datasets with smaller number of observations compared to the number of variables, such as NIR(near-infrared) spectroscopy data in chemometrics. In this study, we propose two visualizing methods of p-variate X variables and q-variate Y variable that can be used in connection with PLS analysis.

• Communications for Statistical Applications and Methods
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• v.17 no.6
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• pp.917-925
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• 2010

The canonical correlation biplot is a 2-dimensional plot for graphically investigating the relationship between two sets of variables and the relationship between observations and variables in the canonical correlation analysis. Recently, Choi and Choi (2008) suggested a method for investigating the relationship between skill and competition score factors of KLPGA players using this biplot. Choi et al. (2010) used this biplot to analyze the player characteristic factors and competitive factors of tennis Grand Slam competition. Moreover, Huh (1999) provided a generalized canonical correlation analysis and biplot for more than three sets of variables. A Procrustes analysis is a useful tool for comparing shapes between configurations. This study will provide a method to investigate the relationship between physique, physical fitness and basic skill factors of tennis players in the Korea Tennis Association using a generalized canonical correlation biplot and Procrustes analysis.

• The Korean Journal of Rheology
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• v.10 no.2
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• pp.65-73
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• 1998

본연구에서는poystyrene-block-poly (ethlene-co-butylene)-block-polystyrene(SEBS) 삼중블록 공중합체와 저분자량 단일중합체인 Hercotac 1149 (H1149)의 70/30 (w/w) 혼합물 의 미세상분리와 그동력학을 유변물성 측정법과 SAXS 실험을 통하여 연구해 보았다. 먼저 혼합물의 미세상분리 온도를 유변물성 측정법과 SAXS 실험을 통해 각각구한 다음 샘플을 미세상분리 온도보다 높은 온도에서 그이하의 온도로 급냉시킨 후 유변물성과 산란강도의 사간에 따른 변화로부터 미세상분리 동력학에 대한 정보를 구하였다. 이렇게 얻어진 데이터 를 Avrami 형태의 핵생성 성장(NG) 메커니즘으로 해석해 보았는데 최대산란강도 Imax 뿐만 아니라 저장 점탄성계수 G＇과 손실 점탄성계수 G＂의 시간에 따른 변화를 잘 예측할수 있 었다. 한편 서로다른 두 time-resolved 실험으로부터 Avrami 플롯을 그려서 구해진 Avrami 변수들은 같은 급냉 깊이에서는 서로 잘 일치함을 확인하였다. 반감기는 급냉 깊이가 증가 함에 따라 점차 감소하는 경향을 보였는데 이는 급냉 깊이가 클수록 미세상분리가 더 빨리 진행되고 있음을 보여주는 것이다. 또한 Avrami 지수는 급냉 깊이가 증가함에 따라 3에서 4로 급격히 변했는데 이로부터 급냉 깊이가 작을 때에는 70/30 (w/w) SEBS/H1149 혼합물 의 미세상분리가 불균일 핵생성 성장 메커니즘에 따라 진행되고 급냉 깊이가 더 커지면 미 세상분리가 스피노달 상분리 메커니즘으로 변하고 있음을 예측할수 있었다.