• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2005년도 추계 학술발표회 제17권2호
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• pp.33-36
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• 2005

This paper presents the comparison of the goodness-of-fit test of analytical bond models between concrete and steel or GFRP reinforcements. Bond test specimens were made by the CSA code and the rebars used in the test were steel and two kinds of GFRP rebar commercially utilized. The comparison of goodness-of-fit test for existing bond models and new proposed bond model was carried out by the least squares method. The result indicates that the new proposed bond model has better goodness-of-fit test than the existing ones.

• Communications for Statistical Applications and Methods
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• 제21권2호
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• pp.125-134
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• 2014

Kullback-Leibler (KL) information is a measure of discrepancy between two probability density functions. However, several nonparametric density function estimators have been considered in estimating KL information because KL information is not well-defined on the empirical distribution function. In this paper, we consider the KL information of the equilibrium distribution function, which is well defined on the empirical distribution function (EDF), and propose an EDF-based goodness of fit test statistic. We evaluate the performance of the proposed test statistic for an exponential distribution with Monte Carlo simulation. We also extend the discussion to the censored case.

• Communications for Statistical Applications and Methods
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• 제10권3호
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• pp.955-969
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• 2003

The classical Fourier analysis, which is the typical frequency domain approach, is used to detect periodic trends that are of the sinusoidal shape in time series data. In this article, using a sequence of periodic step functions, describes an adaptive Fourier series where the patterns may take general periodic shapes that include sinusoidal as a special case. The results, which extend both Fourier analysis and Walsh-Fourier analysis, are applies to investigate the shape of the periodic component. Through the real data, compare the goodness-of-fit of the model using two methods, the adaptive Fourier method which is proposed method in this paper and classical Fourier method.

• 가정과삶의질연구
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• 제22권4호
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• pp.29-41
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• 2004

The patterns of mother-child personality match were investigated in the study. Further, the impact of goodness-of-fit between mother′s and child′s personality on maternal childrearing behaviors, child′s self-esteem, and child′s emotional intelligence was explored. The participants of this study were 1,060 fifth graders and their mothers from four different cities(Seoul. Suwon, Daejon, and Daegu). Six patterns of mother-child personality match were derived through cluster analysis and discriminant analysis. The most harmonious pattern in which maternal childrearing behavior was positive and child′s self-esteem and emotional intelligence were high appeared between mothers and children with high "stability" and "superiority" The least harmonious pattern was shown for the mothers with low "responsibility" and "reflectiveness" and high "dominance′and "sociability", and the children with low "stability" and "superiority".

• Journal of the Korean Statistical Society
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• 제24권2호
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• pp.537-549
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• 1995

In this article, we propose a class of weighted estimators for the excess risk in additive risk model with a binary covariate. The proposed estimator is consistent and asymptotically normal. When the assumed model is inappropriate, however, the estimators with different weights converge to nonidentical constants. This fact enables us to develop a goodness-of-fit test for the excess assumption by comparing estimators with diffrent weights. It is shown that the proposed test converges in distribution to normal with mean zero and is consistent under the model misspecifications. Furthermore, the finite-sample properties of the proposed test procedure are investigated and two examples using real data are presented.

• Journal of the Korean Data and Information Science Society
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• 제14권2호
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• pp.303-311
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• 2003

We consider the problem of testing cell probabilities in sparse multinomial data. Aerts, et al.(2000) presented $T_1=\sum\limits_{i=1}^k(\hat{p}_i-p_i)^2$ as a test statistic with the local polynomial estimator $(\hat{p}_i$, and showed its asymptotic distribution. When there are cell probabilities with relatively much different sizes, the same contribution of the difference between the estimator and the hypothetical probability at each cell in their test statistic would not be proper to measure the total goodness-of-fit. We consider a Pearson type of goodness-of-fit test statistic, $T=\sum\limits_{i=1}^k(\hat{p}_i-p_i)^2/p_i$ instead, and show it follows an asymptotic normal distribution.

• Communications for Statistical Applications and Methods
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• 제21권4호
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• pp.309-316
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• 2014

Testing normality is very important because the most common assumption is normality in statistical analysis. We propose a new plot and test statistic to goodness-of-fit test for normality based on the generalized Lorenz curve. We compare the new plot with the Q-Q plot. We also compare the new test statistic with the Kolmogorov-Smirnov (KS), Cramer-von Mises (CVM), Anderson-Darling (AD), Shapiro-Francia (SF), and Shapiro-Wilks (W) test statistic in terms of the power of the test through by Monte Carlo method. As a result, new plot is clearly classified normality and non-normality than Q-Q plot; in addition, the new test statistic is more powerful than the other test statistics for asymmetrical distribution. We check the proposed test statistic and plot using Hodgkin's disease data.

• 물과 미래
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• 제7권2호
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• pp.99-106
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• 1974

The records of wave heights which were observed at Muk ho and Po hang of the East Coast of Korea were analized by several probility functions. The exponential 2 parameter distribution was found as the best fit probability function to the historical distribution of wave heights by the test of goodness of fit. But log-normal 2 parameter and log-extremal type A distributions were also fit to the historical distribution, especially in the Smirnov-Kolmogorov test. Therefore, it can't be always regarded that those two distributions are not fit to the wave heiht's distribution. In the test of goodness of fit, the Chi-Square test gave very sensitive results and Smirnov-Kolmogorov test, which is a distribution free and non-parametric test, gave more inclusive results. At the next stage, the inter-relationship between the mean and the one-third wave heights, the mean and the one-=tenth wave heights, the one-third and the one-tenth wave heights, the one-third and the highest wave heights were obtained and discussed.

• 시큐리티연구
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• 제42호
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• pp.37-57
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• 2015

본 연구의 목적은 무도수련만족 척도를 경호무도 수련자에게 적용할 수 있도록 Many-Facets Rasch 모형에 의한 문항적합성을 검증하는데 있다. 이를 위해 경호무도를 수련하고 있는 255명의 자료를 분석에 사용하였다. 또한 단일차원성 검증을 위해 AMOS 20.0 프로그램을 사용하였으며, 문항적합도 검증을 위해 Facets 3.61 프로그램을 활용하였다. 이에 따른 구체적인 연구 결과는 다음과 같다. 첫째, 단일차원성 검증결과 모형적합도, 신뢰도 및 표준화 ${\beta}$값 모두 적합한 것으로 나타났다. 둘째, 문항적합도를 분석한 결과 문항 1,2,3은 부적합, 문항 4,8,11,13,14번은 과적합문항인 것으로 나타났다. 또한 문항곤란도 분석결과 문항 1번이 가장 높은 곤란도를 보유한 것으로 나타났으며, 문항 7번이 가장 낮은 곤란도를 보유한 것으로 나타났다. 셋째, 국면에 따른 문항곤란도 및 반응차이검증 결과 여성 집단이 남성 집단에 비해 높은 곤란도를 나타내었으며, 문항적합도는 모두 적합한 것으로 나타났다. 경호무도 수련경력에 따른 문항곤란도 및 반응차이검증결과 수련경력에 따른 반응차이는 없는 것으로 나타났으나 4년이상~5년미만 수련자와 5년이상~6년미만 수련자에서 과적합 특징을 나타내었다. 학년에 따른 문항곤란도 및 반응차이검증 결과 1학년이 문항곤란도를 가장 높게 인식하고 있었으며 4학년은 문항곤란도를 가장 낮게 인식하고 있었다. 넷째, 응답범주분석 결과 6점 응답 범주는 적절하지 않은 것으로 나타났다.

• 한국보육학회지
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• 제18권4호
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• pp.159-173
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• 2018

본 연구는 어머니와 유아 간의 조화적합성과 유아의 자아존중감 간의 관계에서 가정환경자극이 조절효과를 나타내는지 살펴보는 데 목적이 있다. 연구대상은 서울시 소재 어린이집 및 유치원에 재원하고 있는 만 5세 유아 195명과 그 어머니였다. 어머니가 어머니-유아 조화적합성, 가정환경자극에 대한 설문지에 응답하였으며, 연구자가 유아와 일대일로 자아존중감 검사를 실시하여 자료를 수집하였다. 주요 연구결과는 다음과 같다. 첫째, 어머니-유아 조화적합성과 가정환경자극이 높을수록 유아의 자아존중감이 높은 것으로 나타났다. 둘째, 가정환경자극은 어머니-유아 조화적합성과 유아의 인지적, 신체적, 정서적 자아존중감의 관계를 조절하였다. 유아의 자아존중감을 증진시키기 위해 조화적합성과 가정환경자극을 높일 수 있는 지원 방안을 논의하였다는 데 본 연구의 의의가 있다.