• Journal of the Korean Society of Costume
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• v.25
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• pp.119-132
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• 1995

The purposes of this study were to consider the aesthetic side in the clothing positively, search the relationships of the preferance and the aesthetic factors in the general costume of body form, analyze consumer's characters against the value evaluation factors. Stimuli and questionaries were used in this study. The stimuli were twelve color photographs on clothed bodies differing in the degree of beauty and function. The scales were chosen to measure variables refering to sundry records, prediminary exam-ination. The following null-hypothese were estabilished for this study. Ⅰ. Viewer's preferance for the general 4 costumes of body forms will haved significant relationship with aesthetic factors of clothing Ⅱ. Value evaluation factors of clothing will be significantly different according to the vari-ous viewer's characters. Data were abtained from 160 females stu-dents. The data were analyzed by using spsspc+ program-correlation coefficient, one-way ANOVA and scheffe-test. The results were as follows. Ⅰ. The viewer's preferance for general 4 costumes of body forms has significant re-lationship with aesthetic factors of clothing Ⅱ. Value evaluation factors of clothing are significantly different according to the various viewer's characters.

• International Commerce and Information Review
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• v.10 no.3
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• pp.459-474
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• 2008

Under violent competition to secure international raw materials, safe supply and demand of crude oil that only relies on import among main raw materials is an important task for Korean economic development. Therefore, this study aims to analyze the impact of price change of international crude oil on merchandise balance. It also presents political suggestions in preparation for national economic development and safety and develops an organized and long-term overseas resources development program. As the time-series data which had the 1st difference contribute to dismissal of the null hypothesis successfully, we carry out a multivariate cointegration test developed by Johansen (1988) and find that at least one cointegration vector exists. And, when Impulse Response Function is introduced, as the crude oil import price shows a negative impact from Step 2, then an extreme change, a positive impact since Step 13, is maintained and a safe result appears.

• The Korean Journal of Applied Statistics
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• v.7 no.2
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• pp.159-171
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• 1994

Some rank score tests are proposed for testing the equality of all sampling distribution functions against umbrella location-scale alternatives in k-sample problem. Only the case of known peak $\ell$ is considered. Under the null hypothesis and a contiguous sequence of unbrella location-scale alternatives, the asymptotic properties of the proposed test statistics are investigated. Also, the asymptotic local powers are compared with each others. The results show that the tests based on the Chen-Wolfe rank analogue statistic are more powerful than others for unequally spaced umbrella location-scale alternatives and robust.

• Journal of Korean Physical Therapy Science
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• v.10 no.1
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• pp.206-211
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• 2003

The purpose of this study is the effect of massage therapy on the human autonomic nerve system by heart rate variability spectral analysis. This study were to effect autonomic nerve system before and after massage therapy in 12 health peoples. The effect of massage therapy were assessments through Heart Rate Variability (HRV; SA-2000E, Medicare, Korea) before and after the massage therapy by same massage therapist. Statistical techniques for data analysis were applied paired t-test. The 0.05 level of significance was used as the critical level for rejection of the null hypotheses for the study. On the basis of the results analyzed in this study, conclusions were drawn as follows; Rest Heart Rate was significantly decreased before and after massage therapy, but other variable were no statistical significances. These results suggest that massage therapy maybe be effective in reducing heart rate and activity in valgal tone.

• Communications for Statistical Applications and Methods
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• v.27 no.2
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• pp.163-175
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• 2020

We consider a wide class of general weakly-dependent processes, called ψ-weak dependence, which unify almost all weak dependence structures of interest found in statistics under natural conditions on process parameters, such as mixing, association, Bernoulli shifts, and Markovian sequences. For detecting the tail behavior of the weakly dependent processes, change point tests are developed by means of cumulative sum (CUSUM) statistics with the empirical distribution functions of sample extremes. The null limiting distribution is established as a Brownian bridge. Its proof is based on the ψ-weak dependence structure and the existence of the phantom distribution function of stationary weakly-dependent processes. A Monte-Carlo study is conducted to see the performance of sizes and powers of the CUSUM tests in GARCH(1, 1) models; in addition, real data applications are given with log-returns of financial data such as the Korean stock price index.

• Journal of the Korean Physical Society
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• v.73 no.11
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• pp.1657-1662
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• 2018

A null test method which relies on a computer generated hologram (CGH) is widely used to measure a large aspheric surface. For precise measurements of the surface shape of an aspheric optics, the CGH must precisely generate a wavefront that can fit on the ideal surface shape of the aspheric optics. If fabrication errors arise in the CGH, an unwanted wavefront will be generated and the measuring result will lack trustworthiness. Thus far, there has been limited research on wavefronts generated by CGH using only linear-type binary grating models. In this study, a theoretical error model of a circular-type zone plate, the most commonly used types for CGH patterns, is suggested. The proposed error model is checked by simulations and experiments.

• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1249-1263
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• 2009

The power function in sample size determination has to be characterized by an appropriate statistical test for the hypothesis of interest. Nonparametric tests are suitable in the analysis of ordinal data or frequency data with ordered categories which appear frequently in the biomedical research literature. In this paper, we study sample size calculation methods for the Wilcoxon-Mann-Whitney test for one- and two-dimensional ordinal outcomes. While the sample size formula for the univariate outcome which is based on the variances of the test statistic under both null and alternative hypothesis perform well, this formula requires additional information on probability estimates that appear in the variance of the test statistic under alternative hypothesis, and the values of these probabilities are generally unknown. We study the advantages and disadvantages of different sample size formulas with simulations. Sample sizes are calculated for the two-dimensional ordinal outcomes of efficacy and safety, for which bivariate Wilcoxon-Mann-Whitney test is appropriate than the multivariate parametric test.

• The Korean Journal of Applied Statistics
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• v.8 no.2
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• pp.109-119
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• 1995

A two sample chi-square test is introduced for testing the equality of the distributions of two populations when observations are subject to random censorship. The statistic is appropriate in testing problems where a two-sided alternative is of interest. Under the null hypothesis, the asymptotic distribution of the statistic is a chi-square distribution. We obtain two types of chi-square statistics ; one as a nonnegative definite quadratic form in difference of observed cell probabilities based on the product-limit estimators, the other one as a summation form. Data pertaining to a cancer chemotheray experiment are examined with these statistics.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1161-1168
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• 2011

The approximation for the distribution functions of nonparametric test statistics is a significant step in statistical inference. A rank sum test for dispersions proposed by Ansari and Bradley (1960), which is widely used to distinguish the variation between two populations, has been considered as one of the most popular nonparametric statistics. In this paper, the statistical tables for the distribution of the nonparametric Ansari-Bradley statistic is produced by use of polynomially adjusted normal approximation as a semi parametric density approximation technique. Polynomial adjustment can significantly improve approximation precision from normal approximation. The normal-polynomial density approximation for Ansari-Bradley statistic under finite sample sizes is utilized to provide the statistical table for various combination of its sample sizes. In order to find the optimal degree of polynomial adjustment of the proposed technique, the sum of squared probability mass function(PMF) difference between the exact distribution and its approximant is measured. It was observed that the approximation utilizing only two more moments of Ansari-Bradley statistic (in addition to the first two moments for normal approximation provide) more accurate approximations for various combinations of parameters. For instance, four degree polynomially adjusted normal approximant is about 117 times more accurate than normal approximation with respect to the sum of the squared PMF difference.

• Communications for Statistical Applications and Methods
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• v.19 no.1
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• pp.107-115
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• 2012

Yoo and Cook (2007) developed an optimal sufficient dimension reduction methodology for the conditional mean in multivariate regression and it is known that their method is asymptotically optimal and its test statistic has a chi-squared distribution asymptotically under the null hypothesis. To check the effect of dimension used in estimation on regression coefficients and the explanatory power of the conditional mean model in multivariate regression, we applied their method to several simulated data sets with various dimensions. A small simulation study showed that it is quite helpful to search for an appropriate dimension for a given data set if we use the asymptotic test for the dimension as well as results from the estimation with several dimensions simultaneously.