• Journal of the Korean housing association
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• v.18 no.5
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• pp.93-102
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• 2007

The purpose of this study is to explore the changes in space structure in urban residential areas, based on the historical and cultural background of Gyeongju area. In order to clarify its residential and cultural properties, the residential patterns and living characteristics identifying its historical context were analysed. This study was carried out with the data of the Hwango-dong area that has maintained its original form since the creation as a urban residential area during the 1960s and 1970s, the data of the Dongbang village area that was developed as one of residential area projects during the 1970s, and the data of the Seonggeon-dong area that was developed as a residential area during the 1970s and 1980s. The analyses on previous studies and statistical data, referring to building administration registers, field survey and photographing of house types, and exploration of living characteristics by house types were used to perform this study. Four hundred and five sample houses were used in this study, having forty one sample houses which were used for living survey and actual plane measurement. The result of this study can be used as basic information for designing the house to meet Gyeongju citizens' desire for living environments, and to maintain the cultural and historical contexts.

• The Korean Journal of Applied Statistics
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• v.18 no.3
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• pp.597-606
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• 2005

The nonresponse in sample survey causes a problem when it comes time to analyze dataset in public-use files where the user has only complete-data methods available and has limited information about the reasons for nonresponse. Recently imputation for nonresponse is becoming a standard approach for handling nonresponse and various imputation methods have been devised . However, most imputation methods concern with continuous traits while many interesting features are measured by binary or ordered categorical scales in sample survey. In this note. an imputation method for ignorable nonresponse in binary or ordered categorical traits is considered.

• Journal of Technologic Dentistry
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• v.42 no.1
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• pp.55-64
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• 2020

Purpose: The purpose of this study was to investigate the relationship between systemic diseases and denture wear status in elderly. The subjects of this study were 4,340 seniors aged 65 or older who conducted screenings and health surveys using the National Health and Nutrition Survey data during the sixth period (2013, 2014 and 2015). Methods: For the general characteristics and denture wear status according to general systemic diseases, complex sample frequency analysis and cross-analysis were performed. After controlling the general characteristics, complex sample logistic regression analysis was performed to determine the relationship between systemic diseases and denture wear status. Statistical software was used for SPSS (SPSS 23.0 for Windows, SPSS Inc, USA). Significance level was considered as 0.05. Results: A multisample logistic regression analysis was performed to determine the relationship between systemic diseases and denture wear status. The results showed that the dentured state had a significant effect on dyslipidemia and diabetes. Conclusion: Dyslipidemia and diabetes, which are related to denture wearing condition, need to be prevented and treated with regular checkups. In addition, based on the results of the study, it is thought that the elderly need denture prosthetic treatment after tooth extraction. In addition, it can be used as basic data for oral health business plan that can maintain and manage oral health.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.79-86
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• 2024

This research is conducted in order to analyze the student's academic performance at the secondary school level in Sindh province of Pakistan. The study was focused on the students who have passed the Matriculation level recently. The sample of size equal to 1097 secondary level students was randomly selected in a way that from each college roughly up to 150 students took part in the survey. The sample selection was further divided on gender (Male=448, Female=649) and Locale (Urban=456, Rural=641). A survey questionnaire was circulated for data collection. The statistical analysis based on Pearson's Chi-Square and Correlation models were carried out using the collected data. The conclusion was drawn from results that strongly revealed that the student's academic achievement at high school level was highly associated to their parent's educational level and socio-economic background. Therefore, it is strongly recommended that the financial condition of the population must be enhanced by taking suitable measures. The affected students should be awarded adequate financial assistance or scholarships to face such hardships of their learning career. Free laptops, learning materials, books, and stationery should also be provided.

• Journal of Sasang Constitutional Medicine
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• v.16 no.1
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• pp.74-99
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• 2004

Since recent development of questionnaire for Sasang constitution, many researches have followed it to verify statistical significancy. However, a few problems about validity of some questionnaires were discovered later on due to the lack of researches about it. Firstly, some questionnaires have different meaning from that of the original Dongyi Suse Bowon. Secondly, belief on statistical significancy sometimes misleads the questions for a certain Sasang constitution to be used for a different Sasang constitution. Thirdly, profound concepts of original Dongyi Suse Bowon are sometimes abandoned or ignored in the excuse of low statistical significancy. Fourthly, it is still difficult to identify Sasang constitution of Taeyangin due to lack of population, sample, and questions. The purpose of this thesis is to minimize the problems related with interpretation and fitness of the questionnaires. The author developed a questionnaire of 48 questions and surveyed with it over 200 patients who visited Jeon-ju Woosuk hospital. This research resulted in a bit of resolution of the problems through statistical comparison between the survey and clinical analysis.

• Journal of the Korea Safety Management & Science
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• v.10 no.3
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• pp.9-17
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• 2008

In today's industrial society, one observes fierce competition aiming at profit generation among companies, and the utilization of complex machineries and cutting edge science and technology constitutes a constant threat to the life, body, and health of employees. In such a context, it is precisely the purpose of the Industrial Safety and Health Act that is in force to provide protection to the life and health of employees against hazardous and harmful environment and the role of enterprises becomes more and more important in the law. The Industrial Safety and Health Act places the responsibility for preventing industrial accidents on the shoulders of the business employer by providing safety and health information relating to current employees and creating an appropriate work environment. The employer must recognize the importance of prevention of industrial accident and must possess a business philosophy that places top priority on safety when it comes to company management. In light of such practical considerations, the present study approaches to find out the influence of safety and health management on business management from a statistical sample survey point of view. By doing this, the study hopes to show that a through safety management serves to protect the life and health of employees and raise profit for businesses. What is more, the study hopes to demonstrate that promoting a sound business culture can act as fertilizer that promotes the ushering in of a bright society.

• Communications for Statistical Applications and Methods
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• v.15 no.6
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• pp.843-858
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• 2008

BLS adjustment methods have been able to provide more accurate estimates of total and make samples represent population characteristics by post-adjustment of design weights of samples. However, BLS methods use additional data, for instance number of employee, without this information or using other information, give different weight adjustment factors. In this paper we studied the sensitivity of the variables used in BLS adjustment. The 2007 monthly labor survey data is used in analysis.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.4
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• pp.55-70
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• 2001

Artificial neural network(ANN) models have been widely used for the classification problems in business such as bankruptcy prediction, credit evaluation, etc. Although the application of ANN to classification of consumers＇ choice behavior is a promising research area, there have been only a few researches. In general, most of the researches have reported that the classification performance of the ANN models were better than conventional statistical model Because the survey data on consumer behavior may include much noise and missing data, ANN model will be more robust than conventional statistical models welch need various assumptions. The purpose of this paper is to study the potential of the ANN model for forecasting consumers＇ choice behavior based on survey data. The data was collected by questionnaires to the shoppers of department stores and discount stores. Then the correct classification rates of the ANN models for the training and test sample with that of multiple discriminant analysis(MDA) and logistic regression(Logit) model. The performance of the ANN models were betted than the performance of the MDA and Logit model with respect to correct classification rate. By using input variables identified as significant in the stepwise MDA, the performance of the ANN models were improved.

• The Korean Journal of Applied Statistics
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• v.24 no.1
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• pp.25-34
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• 2011

The transition probability can be used for the estimation of subpopulation total in panel data analysis. In this paper a real data analysis is performed and the sensitivity of the sample size allocated in the subpopulation is examined by small simulation studies.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1129-1138
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• 2011

Small area estimation has received significant intention in recent years due to a growing demand for reliable local area statistics. Traditional area-specific direct estimates based solely on sample survey data in the areas of interest do not provide adequate small area precision; however, design-based indirect local area estimators borrow strength from sample observations of related areas to increase the effective sample size. Design-based indirect estimation methods such as synthetic and composite estimators are considered to adjust local area unemployment rate estimates in the Korean Economically Active Population Survey. This study suggests an efficient alternative to minimize the cost to construct the unemployment rate of a local area through simulation under the condition that we can maintain a certain level of CV for the estimates. We obtained the results that the composite estimators using a sample size greater than 10 are more stable and significant at the level of CV 25% in our design scheme.