• Journal of the Korean Home Economics Association
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• v.41 no.9
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• pp.17-29
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• 2003

The objective of this study is to investigate the fit preference tendency for ready-to-wears(jackets, skirts, and slacks) of adult women and to find out the respective differences by the age range and the obesity level. The study method was the questionnaire survey with the subjects of 699 women of 20 up to 59 years of age. The questionnaire is composed of fit preference tendency, physical measurements, age, and occupation. For the data analysis, SPSS 90. program was used, and descriptive statistics, Crosstabs, ANOVA, Duncan's test, and t-test were conducted. The findings are as follows. 1. Regarding the fit preferred for each part of jackets, skirts, and slacks, among ready-to-wears, the 'thing with some extra width' in every part was most favored, followed by the 'thing fitting perfectly'. 2. The differences were found in the fit preference tendency by the age of adult women. The fit preference tendency was higher among those in their 20's than among those of the other age range, and those in their 30's and 40's preferred the clothes with less extra width in comparison with those in their 50's. 3. The differences were also found in the fit preference tendency by the obesity level of adult women. The fit preference tendency was high in the order of the emaciation, normalcy, and obesity types. 4. The fit preference tendency was found to be more affected by the obesity level than by the age. The fit preference tendency by the obesity level of each age range showed the differences in all of the age range. However, the normal type did not show the preference difference among the age ranges, in the fit preference tendency by the age range of each obesity level. Clothing manufacturing firms should understand the characteristics of consumers, such as their age, body type, extra width preferred, to provide the consumers of target market with suitable leeway, and they should design the clothing products which meet up these needs in style and silhouette.

• Journal of applied mathematics & informatics
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• v.1 no.1
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• pp.43-48
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• 1994

There are some difficulties in applying the Pearson's Chi-Square Test for the continuous distribution. The problems include how to form class intervals for the test of fit how to employ in the test when the estimators of parameters are obtained from the ungrouped sample so on. In order to solve these problems we use the generalized minimum Chi-Square technique which is a test free of the complications associated with the Peason's Chi-Square test. This paper show how to apply the goodness of fit tests based on generalized minimum Chi-Square technique to the extreme values.

• Journal of applied mathematics & informatics
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• v.26 no.1_2
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• pp.177-189
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• 2008

In this paper, we have considered an investigation on goodness of fit tests based on divergence measures. In the case of categorical data, under certain regularity conditions, we obtained asymptotic distribution of these tests. Also, we have proposed a modified test that improves the rate of convergence. In continuous case, we used our modified entropy estimator [10], for Kullback-Leibler information estimation. A comparative study based on simulation results is discussed also.

• Communications for Statistical Applications and Methods
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• v.3 no.3
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• pp.39-46
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• 1996

Most of existing nonparametric test statistics are based on the residuals which are obtained by regressing the data to a parametric model. In this paper we compare power of goodness-of-fit test statistics for testing the (null)parametric model versus the (alternative) nonparametric model.

• Communications for Statistical Applications and Methods
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• v.7 no.1
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• pp.277-284
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• 2000

The transformed sample Lorenz curve provides a powerful and easily computed goodness-of-fit test for exponentiality which does not depend on the unknown scale parameter. We compare the power of the transformed sample Lorenz curve statistic with the other goodness-of-fit tests for exponentiality against various alternatives through Monte Carlo methods and discuss the results.

• International Journal of Reliability and Applications
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• v.9 no.1
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• pp.71-78
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• 2008

Based on the goodness of fit approach, a new test is presented for testing exponentiality versus exponential better (worse) than used (EBU (EWU)) class of life distributions. The new test is much simpler to compute, asymptotically normal, enjoys good power and performs better than previous tests in terms of power and Pitman asymptotic efficiencies for several alternatives.

• The Research Journal of the Costume Culture
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• v.9 no.5
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• pp.723-733
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• 2001

The purposes of this study were 1) to examine the effects of the difference between actual and perceived body type and body cathexis on satisfaction with fit and 2) to identify the effect of the difference between chronological and ideal age of middle-aged woman on satisfaction with fit of ready-to-wear. For this study, questionnaires were administered to 500 middle-aged woman in Kwangju. Employing 402 respondents, data were analyzed by using $X^2$-test, t-test and Pearson Correlation. The results were as follows; 1) There were significant differences between actual and perceived body types among middle-aged women. Those who were inconsistent with actual and perceived body types had a tendency to perceive themselves to be obeser than actual body. 2) Those who were inconsistent with actual and perceived body types had a lower satisfaction level with apparel fit sites at jacket length, hip width, crotch length and waist width than those who were consistent with actual and perceived body types. 3) Correlation for body cathexis and satisfaction with fit of ready-to-wear was significantly positive. 4) There were significant differences between chronological and ideal ages. 5) Those who were inconsistent with chronological and ideal ages had a lower satisfaction level with apparel fit sites at neckline, shoulder width, bust, sleeve length, sleeve width, Jacket length, waist width, hip width and skirt length than those who were consistent with chronological and ideal ages.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1245-1255
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• 2015

In this paper, we investigated the major 8 companies of Korean stock market, and carried out the goodness of fit and independence tests. We found out the distributions of absolute returns are closed to compressed exponential distribution. The parameters are dominant that 1 < ${\beta}$ < 2, followed by ${\beta}=1$(exponential distribution) and ${\beta}=2$(normal distribution). Meanwhile, we assured that most of the absolute returns for major 8 companies have relevance to each other by chi-square independence test.

• Proceedings of the Korea Concrete Institute Conference
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• 2005.11a
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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.

• Journal of the Korean Statistical Society
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• v.24 no.2
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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.