• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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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.

• The Korean Journal of Applied Statistics
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• v.14 no.2
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• pp.261-271
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• 2001

정보 공유와 비즈니스 수행 등의 매체로서 World Wide Web의 이용이 보편화됨에 따라 다양하고 방대한 데이터를 웹을 통하여 얻을 수 있게 되었으며, 이러한 데이터로부터 유용한 정보를 추출하기 위한 데이터 분석과 활용은 많은 분야에서 중요한 사안으로 인식되고 있다. 본 연구에서는 웹 로그(web log)데이터로부터 정보를 추출하기 위한 과정 및 방안에 대해 살펴보고자 한다. 로그 데이터의 특징과 통계 데이터와의 차이점, 데이터 수집 및 사전 처리 과정, 추출할 수 있는 정보 및 분석 방법 등을 제시하고 로그 데이터 분석 예제를 제시한다.

• Proceedings of the Korean Statistical Society Conference
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• 2000.11a
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• pp.123-127
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• 2000

인터넷이 데이터 저장 및 서비스를 위한 도구로 폭넓게 활용되고 있으며, 이 과정에서 웹 서버 방문객에 대한 정보인 로그가 발생된다. 이러한 로그는 방문객 주소, 참조 페이지, 방문 시각 등의 정보를 포함하고 있다. 웹 로그에 대하여 패턴분석(pattern analysis), 군집분석(clustering), 판별분석(classification) 등의 통계적 분석을 통하여 방문객이 관심을 가지는 항목이나 항목간의 연관관계 등 새로운 정보를 생성하여 웹 디자인 또는 비즈니스에의 적용에 대한 연구가 활발히 논의되고 있다. 본 연구에서는 웹 로그 분석에 대하여 소개하고 웹 로그 분석을 위한 방안을 제시하고자 한다.

• Communications for Statistical Applications and Methods
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• v.8 no.3
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• pp.831-840
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• 2001

In this study, We introduce the process of web usage mining, which has lately attracted considerable attention with the fast diffusion of world wide web, and explain the web log data, which Is the main subject of web usage mining. Also, we illustrate some real examples of analysis for web log data and look into practical application of web usage mining for eCRM.

• The Journal of Engineering Geology
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• v.25 no.2
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• pp.281-290
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• 2015

Log density data were collected and compared with the core density data throughout the southern Korean Peninsula. The comparison reveals that the log densities obtained from gamma-gamma log are much lower than the core densities obtained from laboratory density measurement of core samples. The anomalously low log densities can be attributed to the small-source density log data. Correlation analysis reveals differences between densities derived from the two methods, indicating that a data quality problem arises when using small-source log data. The problem is probably due to the fact that small-source data have not been obtained under ideal conditions for maintaining the appropriate relationship between gamma response and formation density. The frequency distribution characteristics of formation density in the southern Korean Peninsula could be determined using the core and the standard-source log data which are well-correlated.

• Journal of Pharmaceutical Investigation
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• v.35 no.5
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• pp.355-360
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• 2005

The purpose of the present study was to evaluate the bioequivalence of two cetirizine HCl tablets, Zyrtec tablet (UCB Pharm. Co., Ltd. Korea, reference product) and Zyrix tablet (Kukje Pharm. Co., Ltd., Korea, test product), according to the guidelines of Korea Food and Drug Administration (KFDA). After adding an internal standard (diazepam), plasma samples were extracted using 1 mL of dichloromethane. Compounds extracted were analyzed by reverse-phase HPLC with ultra-violet detector. This method for determination cetirizine is proved accurate and reproducible with a limit of quantitation of 10 ng/mL in male plasma. Twenty-four healthy male Korean volunteers received each medicine at the cetirizine HCl dose of 10 mg in a $2{\times}2$ crossover study. There was a one-week wash out period between the doses. Plasma concentrations of cetirizine were monitored for over a period of 24 hr after the administration. AUC (the area under the plasma concentration-time curve) was calculated by the linear trapezoidal rule. $C_{max}$ (maximum plasma drug concentration) and $T_{max}$ (time to reach $C_{max}$) were compiled from the plasma concentration-time data. Analysis of variance was carried out using logarithmically transformed AUC and $C_{max}$. No significant sequence effect was found for all of the bioavailability parameters indicating that the crossover design was properly performed. The 90% confidence intervals for the log transformed data were acceptable range of log 0.8 to log 1.25 $(e.g.,\;log\;0.93-log\;1.08\;for\;AUC_{0-t},\;log\;0.91-log\;1.08\;for\;AUC_{0-{\infty}}\;and\;log\;1.01-log\;1.11\;for\;C_{max})$. The major parameters, AUC and $C_{max}$ met the criteria of KFDA for bioequivalence indicating that Zyrix tablet is bioequivalent to Zyrtec tablet.

• Journal of Pharmaceutical Investigation
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• v.36 no.4
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• pp.277-282
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• 2006

Lisinopril is one of the angiotensin-converting enzyme inhibitors, which have been used for treatment of hypertension and heart failure. The aim of this study was to evaluate the bioequivalence of two lisinopril tablet, $Lisihexal^{\circledR}$ and $Zestril^{\circledR}$ as a test and reference, respectively. The study was came out on 28 healthy male Korean volunteers in $2{\times}2$ crossover design. An analytical method with LC-MS-MS was developed for the quantification of lisinopril and enalapril(IS) using SPE method. The condition was selective, sensitive and precise in human plasma, that was enough for the pharmacokinetic study of lisinopril. The pharmacokinetic parameters such as $AUC_t,\;AUC_{inf},\;C_{max},\;T_{max}\;and\;t_{1/2}$ were calculated and ANOVA test was used for the statistical analysis of the parameters using log transformed $AUC_t,\;AUC_{inf}\;and\;C_{max}$. $t_{1/2}$ of test and reference drugs were calculated $11.4{\pm}5.1\;and\;16.1{\pm}9.9\;hr$, respectively. The 90% confidence intervals of $AUC_t,\;AUC_{inf}\;and\;C_{max}$ were log 0.9245$\sim$log 1.0603, log 0.9270$\sim$log 1.0601 and log 0.9548$\sim$log 1.1009, within the acceptable range of log 0.8 to log 1.25 by KFDA bioequivalence criteria. Two medications of lisinopril were evaluated bioequivalent and thus may be prescribed interchangeably.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.139-158
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• 2009

This paper used the network analysis method to analyse a variety of attributes of searcher's search behaviors which was appeared on search access log data. The results of this research are as follows. First, the structure of network represented depending on the similarity of the query that user had inputed. Second, we can find out the particular searchers who occupied in the central position in the network. Third, it showed that some query were shared with ego-searcher and alter searchers. Fourth, the total number of searchers can be divided into some sub-groups through the clustering analysis. The study reveals a new recommendation algorithm of associated searchers and search query through the social network analysis, and it will be capable of utilization.

• Convergence Security Journal
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• v.11 no.4
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• pp.85-91
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• 2011

Due to the large-scale application software syslmls, software reliability, software development has animportantrole. In this paper, software truncated software reliability growth model was proposed based on log-logistic distribution. According to fixed time, the intensity function, the mean value function, the reliability was estimated and the parameter estimation used to maximum likelihood. In the empirical analysis, Poisson execution time model of the existiog model in this area and the log-logistic model were compared Because log-logistic model is more efficient in tems of reliability, in this area, the log-logistic model as an alternative 1D the existiog model also were able to confim that you can use.

• YAKHAK HOEJI
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• v.48 no.6
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• pp.379-383
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• 2004

Biphenyl dimethyl dicarboxylate (DDB) has been used for the treatment of chronic viral hepatitis B and drug-induced hepatitis through the inhibition of lipid peroxidation and c ovalent binding of drug metabolites to lipids of microsomes. The bioequivalence of two DDB products was evaluated according to the guidelines of KFDA. The test product was Hepaphil soft capsule(R) made by KMS Pharm. Co. Containing 3 mg DDB and the reference product was Nissel tablet(R) made by Taerim Pharm. Co. Containing 25 mg DDB. Twenty healthy male subjects, 25.4(22~30) years old and 66.7(54~77)kg, were divided into two groups and a randomized $2{\times}2$ cross-over study was employed. After two tablets or two capsules were orally administered, blood was taken at predetermined time intervals and the concentration of DDB in plasma was determined using a validated HPLC method with UV detector. Two pharmacokinetic parameters, $AUC_t$ and $C_{max}$, were calculated and analyzed statistically for the evaluation of bioequivalence of the two products. Analysis of variance was carried out using logarithmically transformed parameter values. The 90% confidence intervals of $AUC_t$ and $C_{max}$ were log 0.91~log1.00 and log 1.05~log 1.15, respectively. These values were within the acceptable bioequivalence intervals of log 0.8 to log 1.25. Thus, the criteria of the KFDA guidelines for the bioequivalence was satisfied, indicating that Hepaphil soft capsule is bioequivalent to Nissel tablet.