• The Korean Journal of Applied Statistics
• /
• v.23 no.5
• /
• pp.923-932
• /
• 2010

One of the problems in designing the fifth Korean National Health and Nutrition Examination Survey(KNHNES) is the lack of an appropriate sampling frame. Due to the significant time difference, we expect eight severe sampling frame errors if we use the sampling frame obtained from the latest population and housing census that was conducted in 2005. Thus, the construction of an appropriate sampling frame for the fifth KNHNES is crucial for a successful survey. We considered the construction of a sampling frame that overcomes the limitations of the 2005 population and housing census based frame. For the construction of eight new sampling frames, we considered the use of multiple sampling frames in which the frame for the apartment households and the frame for the general households are obtained from different sources.

• The Korean Journal of Applied Statistics
• /
• v.26 no.6
• /
• pp.1033-1041
• /
• 2013

In this paper, we investigate several variance estimators for pps systematic sampling. Unfortunately, there is no unbiased variance estimators for a systematic sample because systematic sampling can be regarded as a random selection of one cluster. This study provides guidance on which variance estimator may be more appropriate than others in several circumstances. We judge the efficiency of variance estimators for systematic sampling based on of their relative biases and relative mean square error. Also, we investigate variance estimation problems for two-stage systematic sampling applied for the Food Raw Material Consumption Survey and the Establishment Labor Force Survey simulation study, in order to consider the popular two-stage pps systematic sample design for establishment and household survey in Korea.

• The Korean Journal of Applied Statistics
• /
• v.34 no.1
• /
• pp.1-8
• /
• 2021

Abstract concepts in social research must use measurement tools that are assured of validity and reliability. Observation score derived by a measurement tool can be divided into a valid observation score, a biased observation score, and an error. The presence or absence of a biased value is associated with validity, and the presence or absence of an error value is associated with reliability. There are many techniques for seeing whether a measurement tool is valid and reliable. For example, there are construct validity using factor analysis and internal consistency based on the Cronbach alpha. In this study, the calculation of the Cronbach alpha is derived through a sample, so we suggest an estimator of the Cronbach alpha under complex sample design and nonresponse. In a simulation, the proposed method is compared with many other existing estimators of Cronbach alpha under a multivariate normal distribution.

• Proceedings of the IEEK Conference
• /
• 1998.10a
• /
• pp.1105-1108
• /
• 1998

본 논문은 VSB 전송방식의 HDTV 수신기에 입력되는 신호의 위상잡음 및 이득오차를 없애주는 위상 추적 루프를 설계하였다. 위상 추적 루프는 VSB 신호가 가지는 신호점과 입력된 I 채널의 표본화된 데이터를 이용하여 신호점들의 Q 채널 성분을 추정한 다음 복소곱셈기를 이용하여 입력신호와 곱합으로써 위상의 에러값을 보상하는 구조로 되어 잇다. 위상오차를 검출하는 알고리즘으로 시그늄 함수를 이용함으로써 하드웨어의 부담을 줄이면서 넓은 선형영역을 가질 수 있게 되어 우수한 추적 성능을 가지는 위상 추적 루프를 구현하였고 소프트웨어 심류레이션을 통하여 제시한 알고리즘의 효율성을 입증한 후 ASIC으로 구현하였다.

• Communications for Statistical Applications and Methods
• /
• v.5 no.3
• /
• pp.685-694
• /
• 1998

임상실험이나 신뢰성공학 분야에서 임의 중단자료를 이용한 비모수적 신뢰도 추정량으로 Kaplan-Meier 추정량과 Nelson형 추정량이 많이 사용되고 있다. 그러나 Nelson형 추정량은 평균제곱오차의 관점에서 Kaplan-Meier 추정량보다 추정능력이 우수한 반면 편의는 신뢰도가 감소함에 따라 양의 방향으로 점증하는 소표본 특성을 갖는다. Nelson형 추정량의 이러한 특성 때문에 신뢰도의 함수로 표현되는 잔여수명 분위수함수 등의 추정시에는 평균제곱오차의 관점에서 Kaplan-Meier 추정량보다 추정능력이 떨어짐을 볼 수 있다. 이러한 점을 고려하여 이 두 추정량을 가중평균으로 통합한 새로운 비모수적 신뢰도 추정량을 제안하고 추정량의 특성을 비교 분석하였다.

• The Korean Journal of Applied Statistics
• /
• v.34 no.6
• /
• pp.889-904
• /
• 2021

This study is a follow-up study of Kang and Kim (2020). In this study, we derive the sample influence functions of the t-statistic which were not directly derived in previous researches. Throughout these results, we both mathematically examine the relationship between the empirical influence function and the sample influence function, and consider a method to approximate the sample influence function by the empirical influence function. Also, the validity of the relationship between an approximated sample influence function and the empirical influence function is verified by a simulation of a random sample of size 300 from normal distribution. As a result of the simulation, the relationship between the sample influence function which is derived from the t-statistic and the empirical influence function, and the method of approximating the sample influence function through the empirical influence function were verified. This research has significance in proposing both a method which reduces errors in approximation of the empirical influence function and an effective and practical method that evolves from previous research which approximates the sample influence function directly through the empirical influence function by constant revision.

• The Korean Journal of Applied Statistics
• /
• v.14 no.1
• /
• pp.1-11
• /
• 2001

In PPS sampling, measure of size(MOS) is used to determine the probability of selection of sampling unit. However, some large scale surveys conducted in NSO(National Statistical Office) showed that the sampling units have the similar MOS. In such case, simple cluster sampling method instead of PPS sampling is recommended to give the interviewers a similar work load. In this paper, MSE and CV of the above two sampling methods applied to the 1997 Economically Active Population Survey sample design are compared.

• Survey Research
• /
• v.11 no.3
• /
• pp.103-114
• /
• 2010

It is difficult to obtain the population information of target variables when a new sampling design for successive survey is executed. In a research of the Korea National Tourism Survey, we propose a method for selection of efficient stratification variables which are found in a combination of a existing sample data and a new frame list. At first, if there isn't common identification number between the frame list and the sample data, we find a device to substitute for absence of identification number. At second, we suggest a method to search stratification variables correlated with target variables using statistical methods like regression analysis.

• Water for future
• /
• v.23 no.1
• /
• pp.79-87
• /
• 1990

In this study, a regression model, which relates annual flood peak flows collected at stramflow gaging stations in the Han river and Nakdong river basin to both basin characteristics and precipitation data, is developed by using the generalized least squares method which can provide reasonable and unbiased estimator of error variance by separating error variance of the regression model into that due to model error and due to sampling error. This model may be used as a mechanism for transferring hydrologic information from the gaged sites to ungaged sites.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2008.05a
• /
• pp.173-178
• /
• 2008

확률도시위치는 주로 도시적 해석을 통한 연최대홍수량 또는 연최대강우량의 초과확률의 추정치 산정에 사용되며 빈도해석을 통해 선정된 적정 확률분포형과 표본자료의 개략적인 적합도를 도시적으로 파악할 수 있도록 해주기 때문에 오래 전부터 널리 이용되어 왔다. 본 연구에서는 Gumbel 분포에 적합한 도시위치공식을 새롭게 추정하기 위해 Gumbel 분포의 order statistic과 확률가중모멘트를 이용하여 다양한 표본크기에 대한 도시위치공식의 기본식을 유도하였고, 최적화 기법 중 하나인 유전자 알고리즘을 이용하여 유도된 도시위치공식의 매개변수를 추정하였다. 또한 본 연구에서 추정된 도시위치공식과 기존에 널리 사용되고 있는 도시 치공식의 정확도를 비교하기 위해 reduced variate 간의 오차를 계산하여 비교 검토하였다. 그 결과, 금회 추정된 도시위치공식은 높은 순위에서는 기존의 도시위치공식에 비해 더 정확도가 높은 것으로 나타났고, 표본크기에 대한 순위를 모두 고려할 경우에는 기존의 도시위치공식에 비해 정확도가 높은 것으로 나타나 Gumbel 분포에 대해서 높은 정확도를 보이는 것으로 나타났다.