• Journal of the Korean Data and Information Science Society
• /
• v.17 no.1
• /
• pp.131-139
• /
• 2006

Statistical analyses for spatial data are important features for various types of fields. Spatial data are taken at specific locations or within specific regions and their relative positions are recorded. Lattice data are synoptic observation covering an entire spatial region, like cancer rates corresponding to each county in a state. The main purpose of this paper is to detect hotspots for the region with significantly high or low rates. Kulldorff(1997) detected hotspots based on circular spatial scan statistics. We propose a new method to find any shapes of hotspots by use of echelon analysis with spatial scan statistics.

• The Korean Journal of Applied Statistics
• /
• v.35 no.1
• /
• pp.105-117
• /
• 2022

Recently, the number of students taking basic statistics in liberal arts courses at universities nationwide has been increasing significantly. Students who learn statistics only for one semester are more likely to live as consumers than producers of statistical analysis in the future. What consumers need is statistical literacy and thinking skills rather than statistical methods. This paper deals with what points should be considered in order to develop textbooks that improve statistical thinking.

• Journal of Korean Library and Information Science Society
• /
• v.20
• /
• pp.31-60
• /
• 1993

The purpose of this study is to analyze quantitatively the use of statistics, especially inferential statistics, in library and information science. Thus this study compared the use of statistics in library and information science with it in social work and education. The results of this study are as follows: First, the result is that, when the proportions of articles in each of the three categories of use are compared, library and information science is deficient in the use of inferential statistics and unusually productive of articles in 'No Statistics' category and 'Descriptive Statistics Only' category. Second, ANOVA showed no significant difference in the means for number of articles with no statistics and for articles with descriptive statistics only, but did show a statistically significant difference for the means for number of articles with inferential statistics. That is, the use of inferential statistics in library and information science was very less than the other subject areas. Third, a comparison of the numbers of various inferential statistics for each of the three subject areas indicated that the differences were not significant. This fact means that the quality of inferential statistics used in library and information science was similar to the other subjects.

• Communications for Statistical Applications and Methods
• /
• v.22 no.6
• /
• pp.543-556
• /
• 2015

We present a survey of contributions that defined the nature and extent of robust statistics for the last 50 years. From the pioneering work of Tukey, Huber, and Hampel that focused on robust location parameter estimation, we presented various generalizations of these estimation procedures that cover a wide variety of models and data analysis methods. Among these extensions, we present linear models, clustered and dependent observations, times series data, binary and discrete data, models for spatial data, nonparametric methods, and forward search methods for outliers. We also present the current interest in robust statistics and conclude with suggestions on the possible future direction of this area for statistical science.

• Journal of the Korean Data and Information Science Society
• /
• v.13 no.1
• /
• pp.1-16
• /
• 2002

In this paper, we suggest and implement an on-line survey and analysis system based on the database structure. We can do trends analysis in this system and reduce the number of function because we can treat basic algorithms on the database.

• The Korean Journal of Applied Statistics
• /
• v.24 no.6
• /
• pp.1169-1179
• /
• 2011

Through social network analysis using portal site information, we study the relation of the probability distributions that appear in statistics textbooks with probability distributions that appear in daily life. Based on daily life, we discuss probability distributions that must be emphasized in frequent use.

• Journal of Korean Neurosurgical Society
• /
• v.40 no.4
• /
• pp.304-308
• /
• 2006

Statistical analyses used in clinical articles published on the Journal of Korean Neurosurgical Society were identified and appropriateness of statistical aspects in reporting results was assessed. Forty seven clinical articles were selected in this study, which were published from February, 2005 to February, 2006 on the journal. The frequency of statistical analysis was as follows : descriptive statistics only 24 [51.1%]. one type of statistical method 10 [21.3%], two or more methods 13 [27.6%]. An assessment of statistical aspects was performed in 24 clinical articles reporting inferential statistics. Ten articles [41.7%] did not adequately describe or reference all statistical methods used. There were six articles [25.0%] not reporting the confidence level used as the critical criteria of the statistical significance. In thirteen articles [54.2%] it seems more appropriate to implement multivariate analyses in addition to univariate analyses. We recommend that the journal readers should concentrate on improving their knowledge of basic statistics and statistical review for manuscripts submitted should be sought from professionals in the fields of biostatistics and epidemiology.

• The Journal of the Acoustical Society of Korea
• /
• v.22 no.8
• /
• pp.670-679
• /
• 2003

This paper deals with application of wavelet transform, which is known to be good for time-frequency analysis, in order to detect the underwater transient signals embedded in ambient noise. A new detector of acoustic transient signals is presented. It combines two detection tools: wavelet analysis and higher-order statistics. Using both techniques, the detection of the transient signal is possible in low signal to noise ratio condition. The proposed algorithm uses the wavelet transform of a partition of the signal on frequency domain, and then higher-order statistics tests the Gaussian nature of the segments.

• The Korean Journal of Applied Statistics
• /
• v.6 no.1
• /
• pp.163-172
• /
• 1993

A computer software for nonlinear regression analysis, NLIN90, was developed to provide easy access and useful information for more precise analysis which can be obtained from the newly developed theory. Together with the elementary statistics, it provides statistics for curvature analysis of model function and of each parameter, for curvaure analysis of transformed parameters, for experimental design analysis, and for residual analysis. Easy access is obtained by utilizing a database of nonlinear models.

• The Korean Journal of Applied Statistics
• /
• v.27 no.7
• /
• pp.1139-1149
• /
• 2014

Multivariate volatility is summarized through canonical correlation analysis (CCA). Along with the standard CCA, non-negative and sparse canonical correlation analysis (NSCCA) is introduced to make sure that volatility coefficients are non-negative and the number of coefficients in the volatility CCA is as small as possible. Various multivariate financial time series are analyzed to illustrate the main contribution of the paper.