• Communications for Statistical Applications and Methods
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• 제27권1호
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• pp.141-148
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• 2020

We consider estimating the proportion of true null hypotheses in multiple testing problems. A traditional multiple testing rate, family-wise error rate is too conservative and old to control type I error in multiple testing setups; however, false discovery rate (FDR) has received significant attention in many research areas such as GWAS data, FMRI data, and signal processing. Identify differentially expressed genes in microarray studies involves estimating the proportion of true null hypotheses in FDR procedures. However, we need to account for unknown dependence structures among genes in microarray data in order to estimate the proportion of true null hypothesis since the genuine dependence structure of microarray data is unknown. We compare various procedures in simulation data and real microarray data. We consider a hidden Markov model for simulated data with dependency. Cai procedure (2007) and a sliding linear model procedure (2011) have a relatively smaller bias and standard errors, being more proper for estimating the proportion of true null hypotheses in simulated data under various setups. Real data analysis shows that 5 estimation procedures among 9 procedures have almost similar values of the estimated proportion of true null hypotheses in microarray data.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2009년 춘계학술발표대회 논문집
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• pp.91-94
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• 2009

The purpose of this study is to research the proportion of plans and elevations in traditional architecture for period of Joseon. The collected data of traditional buildings are analyzed for the basic design methods; horizontal factors and vertical factors for floor plans and front elevations. The results of the analysis on this study are as follows. Proportion data of floor plans in traditional architecture is from 1 : 3.8 to 1 : 1.21. Proportion data of front elevations in traditional architecture is from 1 : 8.1 to 1 : 1.03. Average proportion of floor plans in traditional architecture is 1.87. Average proportion of front elevations in traditional architecture is 2.59.

• Journal of the Korean Data and Information Science Society
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• 제28권2호
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• pp.443-449
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• 2017

Estimation of population proportion like the distribution rate of LED TV and the prevalence of a disease are often estimated based on survey sample data. Population proportion is generally considered as a special form of population mean. In complex sampling like stratified multistage sampling with unequal probability sampling, the denominator of mean may be random variable and it is estimated like ratio estimator. In this research, we examined the estimation of distribution rate based on stratified multistage sampling, and determined some numerical outcomes using stratified random sample data with about 25% of missing observations. In the data used for this research, the survey weight was determined by deterministic way. So, the weights are not random variable, and the population distribution rate and its variance estimator can be estimated like population mean estimation. When the weights are not random variable, if one estimates the variance of proportion estimator using ratio method, then the variances may be inflated. Therefore, in estimating variance for population proportion, we need to examine the structure of data and survey design before making any decision for estimation methods.

• Journal of the Korean Data and Information Science Society
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• 제18권4호
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• pp.1179-1189
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• 2007

In this paper, we estimate the proportion of individuals having health insurance in a given year for several small domains cross-classified by age, sex and other demographic characteristics using the data provided by the National Center for Health Statistics(NCHS). We employ Bayesian as well as frequentist methodology to obtain small domain estimates and the associated measures of precision. One of the new features of our study is that we utilize the survey weights along with the model to derive the small domain estimates.

• Journal of the Korean Data and Information Science Society
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• 제14권4호
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• pp.877-887
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• 2003

A two-stage procedure is proposed to estimate the population proportion of a sensitive group. The proposed procedure is obtained by combining the direct question method and a modified randomized response technique. It is verified that the proposed procedure is more efficient than existing methods under some mild conditions.

• Journal of the Korean Data and Information Science Society
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• 제15권1호
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• pp.183-191
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• 2004

This paper shows that there are some extra-factors on the evaluation of lecture by students. The extra-factors are sex, day and nighttime, academic year, size of lecture, and grades. And this paper analysis the proportion of the student which put the same mark on all items(same marked proportion).

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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• pp.401-404
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• 2008

본 연구는 국내 건설현장 여건에 적합한 고강도 레디믹스트 콘크리트의 제조 및 품질관리기술의 체계적 확립을 위하여, 40${\sim}$60MPa급 고강도 콘크리트의 배합설계를 예측할 수 있는 추정식을 실험으로 산출하고, 이를 적용하여 고강도 콘크리트 배합설계 프로그램을 개발한 것이다. 프로그램의 사용 언어는 Visual Basic, MS-SQL을 사용하였고, 실험 결과를 토대로 산출한 수식을 이용한 고강도 콘크리트의 배합설계 계산 기능, 데이터의 저장 및 출력기능, 서버를 통한 데이터 공유기능 등을 갖추고 있어, 고강도 레디믹스트 콘크리트의 제조 및 품질관리 기술의 체계적 확립에 이바지 할 것으로 사료된다. 다만, 본 프로그램은 실험실 조건을 기본으로 제작되어, 초기에는 고강도 콘크리트 배합설계의 기초자료로 활용할 수 있을 것이나, 추후 공유되는 공장별 배합설계 자료를 이용하여 업그레이드한다면 각 공장의 특성에 맞는 고강도 레디믹스트 콘크리트의 제조 및 품질안정성에 기여할 것으로 판단된다.

• 한국병원경영학회지
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• 제28권3호
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• pp.58-67
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• 2023

Purpose: The purpose of this study was to analyze the factors associated with long-term hospitalized patients in long-term care hospitals using the quality assessment data for long-term care hospitals by the Health Insurance Review. Methods: Among 1,376 long-term care hospitals, frequency analysis and descriptive statistics were used to analyze the characteristics of these hospitals. Multiple linear regression was conducted to examine the associations between infrastructure characteristics, medical personnel characteristics, health outcomes and the proportion of long-term hospitalized patients. Results: The research findings indicate that the number of patients per doctor, the number of patients per nurse, and the number of patients per nursing staff were positively associated with the proportion of long-term hospitalized patients. Among health outcomes, a higher proportion of patients with more than a 5% weight loss compared to the previous month and the proportion of patients showing improvement in ADL, were more likely to have a lower proportion of long-term hospitalized patients. However the proportion of diabetic patients with HbA1c test results within the appropriate range was positively associated with the proportion of long-term hospitalized patients. Conclusion: The present study results provide fundamental data for the establishment of policies for long-term care hospitals. Based on this study, it is important to suggest screening methods for unnecessary long-term hospitalizations, such as sufficient medical personnel to improve the quality of care in long-term care hospitals. It is also necessary to clearly separate the roles of medical institutions and long-term care facilities and implement policies to support patients' social reintegration.

• 품질경영학회지
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• 제30권4호
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• pp.68-77
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• 2002

EM algorithm has good convergence rate for numerical procedures which converges on very small step. In the case of proportion estimation in a mixed distribution which has very big incomplete data or of update of new data continuously, however, EM algorithm highly depends on a initial value with slow convergence ratio. There have been many studies to improve the convergence rate of EM algorithm in estimating the proportion parameter of a mixed data. Among them, dynamic EM algorithm by Hurray Jorgensen and Titterington algorithm by D. M. Titterington are proven to have better convergence rate than the standard EM algorithm, when a new data is continuously updated. In this paper we suggest dynamic EM algorithm and Titterington algorithm for the estimation of a mixed Poisson distribution and compare them in terms of convergence rate by using a simulation method.

• Journal of the Korean Data and Information Science Society
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• 제24권6호
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• pp.1543-1550
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• 2013

In this paper, we study Bayesian estimation for the finite population proportion in binary data under selection bias. We use a Bayesian nonignorable selection model to accommodate the selection mechanism. We compare four possible estimators of the finite population proportions based on data analysis as well as Monte Carlo simulation. It turns out that nonignorable selection model might be useful for weekly biased samples.