• Communications for Statistical Applications and Methods
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• 제13권3호
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• pp.755-764
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• 2006

Most graphical methods for categorical data can describe the structure of data and represent a measure of association among categorical variables. Among them the polyhedron plot represents sequential relationships among hierarchical log-linear models for a multidimensional contingency table. This kind of plot could be explored to describe the differences among sequential models. In this paper we suggest graphical methods, containing all the information, that reflect the relationship among all log-linear models in a certain hierarchical structure. We use the ideas of a correlation diagram.

• Communications for Statistical Applications and Methods
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• 제11권1호
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• pp.93-106
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• 2004

Recently, many data of various types is gained with development of computer in many fields. Especially, web log data generating in web site furnish beneficial information on an organization. The enterprise's destiny is swayed by according as how these information gaining from the web site utilize. In this paper, for the purpose of obtaining useful information, we present a tool is called WebBizi for web log analysis. This will be helpful to enterprise working the web site.

• Communications for Statistical Applications and Methods
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• 제4권3호
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• pp.833-845
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• 1997

Fourier expansion is considered for the deconvolution problem of estimating a probability density function when the sample observations are contaminated with random noise. In the log-Fourier method of density estimation for data without noise, the logarithm of the unknown density function is approximated by a trigonometric function, the unknown parameters of which are estimated by maximum likelihood. The log-Fourier density estimation method, which has been considered theoretically by Koo and Chung (1997), is studied for the finite-sample case with noise. Numerical examples using simulated data are given to show the performance of the log-Fourier deconvolution.

• International Journal of Precision Engineering and Manufacturing
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• 제9권4호
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• pp.45-50
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• 2008

The Fourier-Mellin transform is the theoretical basis for the translation, rotation, and scale invariance of an image. However, its implementation requires a log-polar map of the original image, which requires logarithmic sampling of a radial variable in that image. This means that the mapping process is accompanied by considerable loss of data. To solve this problem, we propose a dual log-polar map that uses both a forward image map and a reverse image map simultaneously. Data loss due to the forward map sub-sampling can be offset by the reverse map. This is the first step in creating an invertible log-polar map. Experimental results have demonstrated the effectiveness of the proposed scheme.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.101-107
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• 2018

Visitors to a Web site leave access logs documenting their activity in the site. These access logs provide a valuable source of information about the visitors' access patterns in the Web site. In addition to the pages that the user visited, it is generally possible to discover the geographical locations of the visitors. Web servers also records other information such as the entry into the site, the URL, the used operating system and the browser, etc. There are several Web mining techniques to extract useful information from such information and visualization of a Web log is one of those techniques. This paper presents a technique as well as a case a study of visualizing a Web log.

• Journal of the Korean Data and Information Science Society
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• 제25권1호
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• pp.227-235
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• 2014

In this paper, we develop the noninformative priors for the scale parameter and the shape parameter in the log-logistic distribution. We developed the first and second order matching priors. It turns out that the second order matching prior matches the alternative coverage probabilities, and is a highest posterior density matching prior. Also we revealed that the derived reference prior is the second order matching prior for both parameters, but Jerffrey's prior is not a second order matching prior. We showed that the proposed reference prior matches the target coverage probabilities in a frequentist sense through simulation study, and an example based on real data is given.

• 자원환경지질
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• 제21권1호
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• pp.85-96
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• 1988

Geophysical well logging at various coal fields were carried out to study the characteristic response of domestic coal seams. Also a computer program is developed for quantitative analysis of coal logging data. Most coal seams penetrated by the drill holes, where the well logging were carried out, showed poor thickness and quality, and were severely altered. Therefore, majority of log data are inadequate for detailed quantitative analysis. The logs show, however, typical characteristics with related to coal seams, but interpretation should be made with caution because certain log response of demestic coals, mostly anthracite, are quite different to those of foreign coals, mostly bituminous. The developed comuter program has been proved as an effective one for identification of coal seams and lithology anslysis, and is expected to be succesfully used for coal quality analysis in cases of more diversified log data of good quality being obtained.

• Communications for Statistical Applications and Methods
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• 제13권2호
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• pp.297-307
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• 2006

Most methods for describing the relationship among random variables require specific probability distributions and some assumptions of random variables. The mutual information based on the entropy to measure the dependency among random variables does not need any specific assumptions. And the redundancy which is a analogous version of the mutual information was also proposed. In this paper, the redundancy and mutual information are explored to multi-dimensional categorical data. It is found that the redundancy for categorical data could be expressed as the function of the generalized likelihood ratio statistic under several kinds of independent log-linear models, so that the redundancy could also be used to analyze contingency tables. Whereas the generalized likelihood ratio statistic to test the goodness-of-fit of the log-linear models is sensitive to the sample size, the redundancy for categorical data does not depend on sample size but its cell probabilities itself.

• Journal of the Korean Data and Information Science Society
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• 제17권3호
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• pp.919-925
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• 2006

Maximum likelihood estimate(MLE) is obtained from the partial log-likelihood function for the cell probabilities of two way incomplete contingency tables proposed by Chen and Fienberg(1974). The partial log-likelihood function is modified by adding lagrangian multiplier that constraints can be incorporated with. Variances of MLE estimators of population proportions are derived from the matrix of second derivatives of the loglikelihood with respect to cell probabilities. Simulation results, when data are missing at random, reveal that Complete-case(CC) analysis produces biased estimates of joint probabilities under MAR and less efficient than either MLE or MI. MLE and MI provides consistent results under either the MAR situation. MLE provides more efficient estimates of population proportions than either multiple imputation(MI) based on data augmentation or complete case analysis. The standard errors of MLE from the proposed method using lagrangian multiplier are valid and have less variation than the standard errors from MI and CC.

• 한국산림과학회지
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• 제76권3호
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• pp.181-192
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• 1987

각산정(角算定) 측정법(測定法)으로 임분재적(林分材積)을 추정(推定)할 수 있도록 하기 위하여 경기, 충남북, 강원지역 등의 소나무임분(林分)에서 표준지(標準地) 164개소(個所)를 선정(選定)하여 각(各) 조사인자별(調査因子別)로 실측(實測)하고 Plotless Sampling 방법(方法)으로 측정(測定)한 자료(資料)를 가지고 임분재적(林分材積) 조제방법(調製方法)과 Plotless Sampling 법(法)에 필요한 각종(各種) 표(表)를 조제하여 이를 종합적으로 분석검토(分析檢討)한 결과(結果)를 요약(要約)하면 다음과 같다. 1. 각산정(角算定) 측정법(測定法)에 의하여 측정(測定)이 가능(可能)한 임분평균수고(林分平均樹高), ha 당(當) 단면적(斷面積), 단면적수고(斷面積樹高)의 측정치(測定値)와 표준지(標準地)에서 측정(測定)한 실측치(實測値) 사이에는 회귀계수(回歸係數) b 가 거의 1인 Y=bx 의 회귀계수(回歸係數)가 성립(成立) 하였으며 이들 사이에는 유의차(有意差)가 없어 소나무림(林)에서 각산정(角算定) 측정법(測定法)로 임분재적(林分材積)을 추정(推定)할 수 있다. 2. Dendrometer 로 측정(測定)이 가능한 인자(因子)를 이용(利用)하여 구한, 가장 적합(適合)한 임분재적식(林分材積式)은 log V = -0.0208+0.8497 log G. H., log V = -0.0028+0.7981 log G+0.9313 log H 이며 본식(本式)에 의하여 조제된 임분재적표(林分材積表)는 Table 4, 5와 같으며 표(表)에 의한 측정치(測定値)와 실측치간(實測値間)의 추정오차율(推定誤差率)은 1변수재적표(變數材積表)가 9.16%, 2변수재적표(變數材積表)가 8.50%이었다. 3. 각산정(角算定) 측정법(測定法)에 의한 임분재적(林分材積) 추정시(堆定時) 필요(必要)한 인자(因子)인 임분형상고(林分形狀高), 형상단면적(形狀斷面積), 임분형수(林分形數) 등을 구할 수 있는 가장 적합(適合)한 추정식(推定式)은 다음과 같다. FH=D/(1.5205+0.0994 D) log FH=0.0451+0.2429 log D+0.3474 log H log FG=-0.0380+0.7758 log G-0.0066 log H F=H/(-5.1697+2.6013 H) F=FH/(-3.1256+2.7611 FH) log F=-0.0634-0.0848 log GH-0.1224 log Di 4. 이와 같은 식(式)에 의하여 조제한 임분형상고표(林分形狀高表)는 Table 7, 8과 같으며 이의 추정오차율(推定誤差率)은 임분평균직경(林分平均直徑)에 의한 1변수표(變數表)와 임분평균직경(林分平均直徑) 및 임분평균수고(林分平均樹高)에 의한 2변수표(變數表)는 각각(各各) 8.05%, 8.32%이며 단면적(斷面積)과 임분평균수고(林分平均樹高)의 2변수(變數)에 의한 형상단면적표(形狀斷面積表)는 Table 9와 같고 이의 추정오차율(推定誤差率)은 9.76%이었다. 또한 임분형수표(林分形數表)는 Table 10, 11, 과 같으며 이의 추정오차율(推定誤差率)은 임분평균수고(林分平均樹高), 임분형상고(林分形狀高)에 의한 1변수표(變數表)는 각각(各各) 5.58%, 5.39%이고 단면적(斷面績) 수고(樹高)와 수간거리(樹幹距離)에 의한 2변수표(變數表)는 4.30% 이었다.