• Communications for Statistical Applications and Methods
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• 제6권3호
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• pp.901-908
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• 1999

Using the Transformed Lorenz curve which is introduced by Cho et al.(1999) we propose the test statistic for testing of normality that is very important test in statistical analysis and compare the proposed test statistic with the Shapiro and Wilk's W test statistic in terms of the power of test through by Monte Carlo method.

• 한국정보통신학회논문지
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• 제10권3호
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• pp.542-548
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• 2006

본 논문에서는 컬러 정지 영상을 대상으로 상반신 인물 영상이 입력되었을 때, 얼굴 영역을 추출하고 검증하는 방법을 제안한다. 본 논문의 얼굴 추출과정은 1단계로 영상 내 피부색 영역을 추출한 다음, 후보 영역들에 대한 공간적 제한조건을 이용하여 1차 얼굴 후보 영역을 결정한다. 2단계에서는 얼굴 구성 요소 중 가장 두드러진 특징으로서 눈 영역을 탐색하고, 눈 영역을 기준으로 한국인의 얼굴에 대한 구조적 통계값을 적용한다. 이로서 얼굴 포함 최소 사각형 후보 영역을 결정한다. 마지막 3단계에서는 영상 내 색상 정보와 공간 정보 그리고 구조적 통계치로부터 결정된 얼굴 후보 영역에 대하여 얼굴 영역의 텍스춰(texture)를 Wavelet Packet Analysis를 이 용해 조사함으로써 얼굴 영역을 확정하게 된다.

• Journal of applied mathematics & informatics
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• 제5권2호
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• pp.489-498
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• 1998

The influence of observations the on the goodness-of-fit test in maximum likelihood factor analysis is investigated by using the local influence method. under an appropriate perturbation the test statistic forms a surface. One of main diagnostics is the maximum slope of the perturbed surface the other is the direction vector cor-responding to the curvature. These influence measures provide the information about jointly influence measures provide the information about jointly influential observations as well as individ-ually influential observations.

• Journal of the Korean Data and Information Science Society
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• 제16권4호
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• pp.745-758
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• 2005

This paper presents a statistical analysis on the position-specific distributions of amino acid residues in transmembrane proteins. A hidden Markov model segments membrane proteins to produce segmented regions of homogeneous statistical property from variable-length amino acids sequences. These segmented residues are analyzed by using chi-square statistic and relative-entropy in order to find position-specific amino acids. This analysis showed that isoleucine and valine concentrated on the center of membrane-spanning regions, tryptophan, tyrosine and positive residues were found frequently near both ends of membrane.

• 한국환경과학회지
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• 제20권9호
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• pp.1183-1190
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• 2011

This study was aimed to establish the evaluating protocol and standard assessment for genetically modified (GM) hot pepper and to find out a proper statistic method to analyze for equality of agricultural characters between GM and non-GM pepper lines. GM and non-GM hot pepper lines were cultivated in two GMO fields in the middle region of Korea and total of 52 agricultural characters were collected during the plant growing season for 4 years, 2007 to 2010. Levene's test was conducted to confirm the homogeneity of raw data before statistic analysis. Two-way ANOVA in the multivariate tests and t-test were conducted to analyze 52 agricultural characters in order to find out the equality between H15 and P2377. From the statistical analysis through two-way ANOVA, 16 out of 16 plant growth traits, 9 out of 18 green fruit traits and 7 out of 18 red fruit traits among 4 years and 9 out of 16 plant growth traits, 4 out of 18 green fruit traits and 3 out of 18 red fruit traits between H15 and P2377 have shown the statistic differences. With the same raw data of 52 agricultural characters, t-test was also conducted. Based on the result from t-test, only 1 out of 16 plant growth traits, 2 out of 18 green fruit traits and 1 out of 18 red fruit traits have shown the differences between H15 and P2377, so that it was concluded that there is no statistic difference between H15 and P2377 in terms of agricultural characters. Also, the t-test is a proper statistic method to analyze each trait between GM and its control lines in order to evaluate agricultural characters.

• Communications for Statistical Applications and Methods
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• 제11권2호
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• pp.247-254
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• 2004

Tusher, Tibshirani and Chu (2001) suggested SAM (Significance Analysis of Microarrays) to compare two groups under different conditions for each gene, using microarray data. They used two sample t-statistic adding fudge factor in the denominator to prevent the value of statistic from being inflated by large sample variance, which might result in significant difference despite of a small value in the numerator. This paper aims at finding robust fudge factor and replacing it in two-sample t-statistic used in SAM, which we call Modified SAM (MSAM). Using the simulated data and data used in Dudoit et al.(2002), it is shown that MSAM find significant genes better and has less error rate than SAM.

• International Journal of Reliability and Applications
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• 제8권1호
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• pp.27-39
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• 2007

Based on goodness of fit new testing procedures are derived for testing exponentiality against harmonic new renewal better than used in expectation (HNRBUE). For this aging properties, a nonparametric procedure (U-statistic) is proposed. The percentiles of this test statistic are tabulated for sample sizes n=5(1)30(10)50. The Pitman asymptotic efficiency (PAE) of the test is calculated and compared with, the (PAE) of the test for new renewal better than used (NRBU) class of life distribution [see Mahmoud et al (2003)]. The power of this test is also calculated for some commonly used life distributions in reliability. The right censored data case is also studied. Finally, real examples are given to elucidate the use of the proposed test statistic in the reliability analysis.

• Genomics & Informatics
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• 제2권4호
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• pp.180-183
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• 2004

Comparative Statistic Module(CSM) provides more reliable list of significant genes to genomics researchers by offering the commonly selected genes and a method of choice by calculating the rank of each statistical test based on the average ranking of common genes across the five statistical methods, i.e. t-test, Kruskal-Wallis (Wilcoxon signed rank) test, SAM, two sample multiple test, and Empirical Bayesian test. This statistical analysis module is implemented in Perl, and R languages.

• Journal of the Korean Data and Information Science Society
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• 제20권2호
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• pp.401-410
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• 2009

두 블럭인자와 하나의 주인자로 구성된 3 ${\times}$ 3 라틴방격모형의 특성으로 인하여 주효과를 검정하기 위한 순위변환 통계량의 검정력은 모집단의 분포유형에 상관없이 모수적 통계량의 검정력보다 전반적으로 월등히 높은 수준이다. 특히 세인자가 모두 고정인 경우, 하나의 블럭인자만이 랜덤인 경우, 두 블럭인자가 모두 랜덤인 경우의 순서로 주효과를 검정하기 위한 순위변환 통계량의 검정력이 모수적 통계량의 검정력에 비하여 상대적으로 높다. 또한 검정하고자 하는 주효과의 크기가 크되 동시에 동일크기의 하나의 블럭효과 및 또다른 블럭효과 크기는 상대적으로 작을수록 주효과를 검정하기 위한 순위변환 통계량의 검정력은 모수적 통계량의 검정력보다 상대적 우위성을 갖는다.

• Journal of the Korean Data and Information Science Society
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• 제22권2호
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• pp.245-253
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• 2011

블럭이 존재하는 $2{\times}2$ 요인모형의 주 효과 및 상호작용효과를 검정하기 위한 순위변환 통계량의 검정력은 블럭크기, 효과들의 구성방법 및 지수분포, 이중지수분포, 정규분포, 균일 분포를 포함한 모든 모집단 분포하에서 모수적 통계량의 검정력보다 월등한 우위를 보인다. 이는 블럭이 추가된 요인 모형은 블럭과 요인의 상호작용들이 오차항을 증가시켜 모수적 통계량의 검정력을 감소시키는 보수적 성향을 보이나, 순위변환 통계량의 검정력은 상대적 우위를 유지함에 기인한다고 유추할 수 있다. 일반적으로 블럭크기가 작고, 효과크기가 클수록 순위변환 통계량의 검정력은 모수적 통계량의 검정력보다 상당히 큰 격차의 상대적 우위를 보임을 알 수 있다.