• Journal of Society of Preventive Korean Medicine
• /
• v.7 no.2
• /
• pp.35-44
• /
• 2003

Research papers must be expression given by letter that had fixed types, rules and universal sentence languages to inform many persons about study results until present when these research paper was considered review, oriental medical papers had some problems, as like difficult contents not to inform absolutely, usage of past language, not considerable in logic history and continuity, and have used not fixed types and rules, error of statistical analysis and research construction. Also centered clinic that had trends important treat tools by drugs ,acupuncture and moxa studies. In briefly, papers of korea traditional medicine had some several problems. Oriental medicine has very concerns not only korean but other countries in present and then it will increases much more study in future. For the purpose cope with this concerns korea traditional medicine researchers need much educations of relation department and must recognized much concerns.

• Korean Journal of Child Studies
• /
• v.21 no.2
• /
• pp.157-169
• /
• 2000

This study investigated the effects on interpersonal cognitive problem-solving skill of discussion with children of moral conflicts in traditional fairy tales. The subjects were forty 4-to 5-year-old children. The experimental group took part in discussion after hearing traditional fairy tales showing moral conflict, and the control group only listened to the fairy tales. Statistical analysis was by the SAS program. Conclusions were that discussion of moral conflicts found in traditional fairy tales brings about a positive result in children's interpersonal cognitive problem-solving skill.

• Communications for Statistical Applications and Methods
• /
• v.9 no.3
• /
• pp.743-752
• /
• 2002

The estimation of the response curve is the important problem in the quantal bioassay. When we estimate the response curve, we determine the design points in advance of the experiment. Then naturally we have a question of which design would be optimal. As a response curve estimator, locally weighted quasi-likelihood estimator has several more appealing features than the traditional nonparametric estimators. The optimal design density for the locally weighted quasi-likelihood estimator is derived and its ability both in theoretical and in empirical point of view are investigated.

• Communications for Statistical Applications and Methods
• /
• v.9 no.3
• /
• pp.665-674
• /
• 2002

The advantage of internet survey compared to the traditional survey methods are speedy in data collection, cost-effective, high performed design and able to data process and analysis at the same time. The other side are difficult to select sample, come from serious nonresponse errors. We suggest the new internet survey method to the questionnaire design that have the high response rate, enough to advanced preparations and system stability.

• Journal of the Korean Statistical Society
• /
• v.31 no.2
• /
• pp.143-152
• /
• 2002

In an effort to make a right choice among ratio estimation strategies and PPS sampling strategies, we conduct an empirical investigation of the relative performances of three ratio estimation strategies and four PPS estimation strategies using a set of 12 natural populations. The quality of a strategy is measured in the traditional way, namely with the consideration of efficiency, achieved coverage rate of the nominal 99% confidence interval and approach to normality (asymmetry).

• Journal of the Korean Statistical Society
• /
• v.8 no.2
• /
• pp.139-163
• /
• 1979

Utilization of the aggregation concept applied in economics has been a traditional way of describing the state of an economic system and of predicting the future economic conditions. In addition, certain aggregate variables have also played a crucial role as indicators of the business cycle. Quick examples would be the price index, the productivity changes, the industrial production index, GNP, and so on. The methods of aggregation could be either simple summations, like GNP, or sophisticated weighted average, like the price index.

• Communications for Statistical Applications and Methods
• /
• v.5 no.3
• /
• pp.707-722
• /
• 1998

This paper evaluates a new clinical trial designs for low infection rate disease. This type of sparse disease reaction makes the traditional two sample t-test or Wilcoxon rank-sum test inefficient compared to a new test suggested. The new test, which is based solely on the larger changes, is shown to be more effective than existing method by simulation for small samples. However, this test can be shown to be connected to the locally most powerful rank test under certain practical conditions. This design is motivated in testing the treatment effects in periodontal disease research.

• The Korean Journal of Applied Statistics
• /
• v.22 no.6
• /
• pp.1153-1165
• /
• 2009

There are many traditional statistical tests for randomness. We can consider recurrence plots as an exploratory graphical tool for evaluating randomness.

• Proceedings of the Korean Statistical Society Conference
• /
• 2003.05a
• /
• pp.269-273
• /
• 2003

We consider an efficient parametric estimation method of spatial dependence in weak stationary processes. Spatial dependence is modeled through variogram and correlogram. Most of parametric estimation methods of correlogram use two step method; nonparametric estimation and parametric integration. We bind these two steps into one step by using GEE method instead of least squares type optimization. Our one step method is more efficient statistically and gives a clear interpretation of related concepts used in traditional two step methods.

• Journal of the Korean Data and Information Science Society
• /
• v.16 no.4
• /
• pp.899-911
• /
• 2005

This paper conducts an explanatory analysis of the web sphere produced by National Assemblymen in South Korea, using some statistical methods. First, some descriptive metrics were employed. Next, the traditional methods of multi-variate analyses, multidimensional scaling and corresponding analysis, were applied to the data. Finally, cross-sectional data were compared to examine a change over time.