• Korean Journal of Acupuncture
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• 제29권4호
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• pp.573-580
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• 2012

Objectives : This study was to investigate statistical validities and trends of previously reported papers that used various statistical techniques such as t-test and analysis of variance. Methods : To analyze the statistical procedures, 54 original articles using those statistical methods were selected from The Korean Journal of Acupuncture published from 2007 to 2011. Results : T-test and analysis of variance were used in 23(25.27%), and 18 papers(19.78%) out of 54 papers, respectively. Seven articles(12.96%) did not report alpha values and 26(48.15%) out of 54 studies were not tested for normal distribution. One paper(1.85%) misused t-test and 7 papers(38.89%) did not carry out the multiple comparison. Conclusions : To improve the quality of KJA, statistician involvement in research design would be necessary to reduce errors in statistical methods and interpretation of the results.

• 대한치과보철학회지
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• 제47권3호
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• pp.273-285
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• 2009

연구목적: 대한치과보철학회지에 사용된 통계적 방법의 통계적 오류현황을 파악하여 통계적 방법의 잘못된 활용으로 인한 치의학 연구논문에서의 문제를 검토하고, 또한 통계적 오류의 유형과 빈도를 파악하여 동일문제의 재발 방지 및 효율적 대처의 기회로 삼고자 함이다. 연구 재료 및 방법: 2000년부터 2006년까지의 대한치과보철학회지에 게재된 총 399편의 논문 중 통계적 방법이 사용된 292편의 논문을 조사했고, 이를 위해 1997년 국제의학학술지 편집위원회의 "생의학 학술지에 투고하는 원고의 통일양식의 통계학적 방법론에 관한 서술지침" 15개항을 기초로 하여 1) 통계 프로그램의 불명시, 2) 통계 방법의 부적절한 기술, 3) 통계용어의 오용 등으로 크게 3가지 범주로 구성된 점검표를 사용하여 통계적 방법의 종류 및 통계적 오류부분을 확인하고 이를 한글판과 영문판으로 비교해 보았다. 그 결과는 다음과 같다. 결과 및 결론: 1. 통계 프로그램 명시 오류는 한글판에선 54%가, 영문판에선 59%가 있었으나 통계적으로 유의한 차이를 보이진 않았다 (P = .66). 2. 통계 방법의 부적절한 기술에 관한 오류는 한글판에선 49%가, 영문판에선 33%가 있었으나 통계적으로 유의한 차이를 보이진 않았다 (P = .09). 3. 통계용어의 오용오류는 한글판에선 54%가, 영문판에선 24%가 있었으며 통계적으로도 유의한 차이가 있었다 (P = .01). 상기 결과로 볼 때 통계용어의 오용 오류 이외엔 통계적 유의성을 보이진 않아서 한글판과 영문판의 통계적 오류의 비율은 유사하게 나타난 걸로 추정되며, 전체적으로 대한치과보철학회지의 통계적 타당성은 다소 부족하게 나타났다. 따라서 향후 치의학 연구자는 통계적 방법을 기술하고 적용할 때 통계적 오류를 피하기 위해 주의를 기울여야 할 것이며, 아울러 치의학 논문에서의 통계학적 방법론에 대한 인식의 제고가 필요하다고 보인다.

• 한국수학사학회지
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• 제13권1호
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• pp.99-112
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• 2000

In this paper we discuss the teaching methods about statistical inferences. Bayesian methods have the attractive feature that statistical conclusions can be stated using the language of subjective probability. Simple methods of teaching Bayes' rule described, and these methods are illustrated for inference and prediction problems for one proportions. Also, we discuss the advantages and disadvantages of traditional and Bayesian approachs in teaching inference.

• Communications for Statistical Applications and Methods
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• 제26권1호
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• pp.1-9
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• 2019

Various probabilistic methods have been proposed for using interpopulation allele frequency differences to infer the ethnic group of a DNA specimen. The selection of the statistical method is critical because the accuracy of the statistical classification results vary. For the ancestry classification, we proposed a new ancestry evaluation method that estimate the combined ethnicity index as well as compared its performance with various classical classification methods using two real data sets. We selected 13 SNPs that are useful for the inference of ethnic origin. These single nucleotide polymorphisms (SNPs) were analyzed by restriction fragment mass polymorphism assay and followed by classification among ethnic groups. We genotyped 400 individuals from four ethnic groups (100 African-American, 100 Caucasian, 100 Korean, and 100 Mexican-American) for 13 SNPs and allele frequencies that differed among the four ethnic groups. Additionally, we applied our new method to HapMap SNP genotypes for 1,011 samples from 4 populations (African, European, East Asian, and Central-South Asian). Our proposed method yielded the highest accuracy among statistical classification methods. Our ethnic group classification system based on the analysis of ancestry informative SNP markers can provide a useful statistical tool to identify ethnic groups.

• Toxicological Research
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• 제30권3호
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• pp.185-191
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• 2014

Statistical methods are frequently used in toxicology, yet it is not clear whether the methods employed by the studies are used consistently and conducted based on sound statistical grounds. The purpose of this paper is to describe statistical methods used in top toxicology journals. More specifically, we sampled 30 papers published in 2014 from Toxicology and Applied Pharmacology, Archives of Toxicology, and Toxicological Science and described methodologies used to provide descriptive and inferential statistics. One hundred thirteen endpoints were observed in those 30 papers, and most studies had sample size less than 10, with the median and the mode being 6 and 3 & 6, respectively. Mean (105/113, 93%) was dominantly used to measure central tendency, and standard error of the mean (64/113, 57%) and standard deviation (39/113, 34%) were used to measure dispersion, while few studies provide justifications regarding why the methods being selected. Inferential statistics were frequently conducted (93/113, 82%), with one-way ANOVA being most popular (52/93, 56%), yet few studies conducted either normality or equal variance test. These results suggest that more consistent and appropriate use of statistical method is necessary which may enhance the role of toxicology in public health.

• Communications for Statistical Applications and Methods
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• 제21권1호
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• pp.105-114
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• 2014

In this paper we suggest an efficient method to estimate the distribution function using the Bezier curve, and compare it with existing methods by simulation studies. In addition, we suggest a robust version of cross-validation criterion to estimate the number of Bezier points, and showed that the proposed method is better than the existing methods based on simulation studies.

• Journal of the Korean Data and Information Science Society
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• 제18권4호
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• pp.1057-1064
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• 2007

From the view of natural language process, quantitative linguistic analysis is a linguistic study relying on statistical methods, and is a mathematical linguistics in an attempt to discover various linguistic characters by interpreting linguistic facts quantitatively through statistical methods. In this study, I would like to introduce a quantitative linguistic analysis method utilizing a computer and statistical methods on literary works. I also try to introduce a use of SynKDP, a synthesized Korean data process, and show the relations between distribution of linguistic unit elements which are used by the hero in a novel #Sassinamjunggi# and theme analysis on literary works.

• 응용통계연구
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• 제3권1호
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• pp.121-141
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• 1990

컴퓨터의 발전에 따른 통계방법 중에서 붓스트랩(bootstrap)에 대하여 연구하였다. 특히 추축통계량의 표본분포를 붓스트랩분포로 추정하는데 있어서 계산문제와 이론적인 정당성을 고려하였으며, 모분포의 성격을 나타내는 모수의 붓스트랩 신뢰영역을 몇 가지 사례들에 대해 살펴보았고 사례별로 붓스트랩 방법의 의미를 고찰하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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• pp.61-64
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• 2002

In this paper, we propose the iris feature extraction by using statistical methods. There are many approaches for iris feature extraction, but most of them require a set of parameters that one should choose for the transformation to obtain a useful representation of the iris. It would be most useful to estimate the method of the iris feature extraction from iris itself. Therefore, we apply the unsupervised statistical methods for the iris feature extraction.

• 반도체디스플레이기술학회지
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• 제12권1호
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• pp.1-7
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• 2013

Grey-level statistical models have been widely used in many applications for object location and identification. However, conventional models yield some problems in model refinement when training images are not properly aligned, and have difficulties for real-time recognition of arbitrarily rotated models. This paper presents improved grey-level statistical models that align training images using image or feature matching to overcome problems in model refinement of conventional models, and that enable real-time recognition of arbitrarily rotated objects using efficient hierarchical search methods. Edges or features extracted from a mean training image are used for accurate alignment of models in the search image. On the aligned position and orientation, fitness measure based on grey-level statistical models is computed for object recognition. It is demonstrated in various experiments in PCB inspection that proposed methods are superior to conventional methods in recognition accuracy and speed.