• 한국통계학회:학술대회논문집
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• 한국통계학회 2003년도 추계 학술발표회 논문집
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• pp.201-205
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• 2003

We show how some probability nonreplacement sampling designs can be implemented using nonlinear programming, The efficiency of the proposed approach is compared with selected probability sampling schemes in the literature. The approach is simple to use and appears to have reasonable variance.

• 한국수산과학회지
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• 제26권4호
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• pp.369-379
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• 1993

1992년 동계에 췌셰픽만의 꽃게자원에 대하여 예망을 사용한 연속채집법에 의한 어획 효율성을 조사하였다. 일반선형모델 분석에 따르면 26회에 걸친 야외시험 결과 어획효율성은 저질이나 수심, 사용된 조사선박에 따라 통게학적으로 유의한 차이가 나타나지 않았다. 예망효율(즉, 어획율)은 Leslies방법과 단순히 개조된 방법 등의 두 방법을 사용하여 추정하였다. 평균 어획율은 0.26 (표준오차:0.03)으로 추정되었는데 이는 한번의 예망을 사용하여 채집장소에 존재하고 있는 꽃게 가운데 단지 $26\%$($95\%$ 신뢰한계 : $20{\sim}32\%$)를 잡을 수 있다는 의미이다. 예망효율은 꽃게의 밀도가 증가함에 따라 지수적으로 감소하였다.

• 대한기계학회논문집A
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• 제33권9호
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• pp.870-877
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• 2009

This study provides how the Dimension Reduction (DR) method as an efficient technique for reliability analysis can acquire its increased efficiency when it is applied to highly nonlinear problems. In the highly nonlinear engineering systems, 4N+1 (N: number of random variables) sampling is generally recognized to be appropriate. However, there exists uncertainty concerning the standard for judgment of non-linearity of the system as well as possibility of diverse degrees of non-linearity according to each of the random variables. In this regard, this study judged the linearity individually on each random variable after 2N+1 sampling. If high non-linearity appeared, 2 additional sampling was administered on each random variable to apply the DR method. The applications of the proposed sampling to the examples produced the constant results with increased efficiency.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.1162-1168
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• 2008

This study provides how the Dimension Reduction (DR) method as an efficient technique for reliability analysis can acquire its increased efficiency when it is applied to highly nonlinear problems. In the highly nonlinear engineering systems, 4N+1 (N: number of random variables) sampling is generally recognized to be appropriate. However, there exists uncertainty concerning the standard for judgment of non-linearity of the system as well as possibility of diverse degrees of non-linearity according to each of the random variables. In this regard, this study judged the linearity individually on each random variable after 2N+1 sampling. If high non-linearity appeared, 2 additional sampling was administered on each random variable to apply the DR method. The applications of the proposed sampling to the examples produced the constant results with increased efficiency.

• 생태와환경
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• 제43권1호
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• pp.103-116
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• 2010

본 연구는 현재 국내 호수에서 사용되는 어구들(Sampling gears) 중 어류를 이용한 호수생태계의 건강성 평가에 적용할 수 있는 어구를 선정하기 위하여 각 어구별 채집 효율성을 분석하였다. 이를 위하여 진양호를 대상으로 2008년 11월과 2009년 6월 2회에 걸쳐서 어류조사를 실시하였다. 조사에 사용된 어구는 외통발(FN), 자망(GN), 삼중자망(TN), 투망(CN), 통발(MT), 족대(KN) 등 6개의 어구를 사용하였다. 진양호에서 채집된 총 어류는 1차 조사에서 20종의 4,149개체로 나타났으며, 2차 조사에서 27종의 3,364개체로 나타나 동절기(11월)인 1차 조사에 비하여 하절기(6월)에서 더 많은 종이 출현한 것으로 나타나 1, 2차 조사 결과, 총 어류는 29종의 7,513개체가 채집되었다. 어구별로 채집된 어종을 분석한 결과, 투망(CN)이 28종 3,567개체가 채집되었으며, 정치망(FN)이 15종 3,108개체, 삼중자망(TN)이 14종 577개체, 자망(GN)이 7종 107개체, 통발(MT)이 6종 59개체, 족대(KN)가 5종 95개체가 채집되어 투망이 총 및 개체수에서 가장 많이 채집된 것으로 나타났다. 어류채집도구별 다변량분산분석(MANOVA) 결과, 각 어구마다 채집되는 종수에 차이가 있는 것으로 나타났으며, 이중 CN을 이용한 다른 채집도구들에 비해서 가장 효율적인 것으로 분석되었다. 반면, MT과 KN이 어류채집 시 가장 낮은 효율성을 보이는 것으로 나타났다. 또한 유사도 분석에서도 CN이 전체 채집된 어류 자료와 95% 정도의 유사도를 보였으며, MT, GN, TN, KN으로 채집된 어류는 유연관계가 적은 것으로 나타났다. 본 연구는 호수생태계에서 어류조사도구별 효율성에 대한 예비연구로서 검증을 위해 향후 여러 호수에 대한 더 많은 연구가 뒷받침되어야 할 것으로 사료된다.

• Journal of Positioning, Navigation, and Timing
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• 제12권3호
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• pp.237-244
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• 2023

A signal generation simulator is an economical and useful solution in Global Navigation Satellite System (GNSS) receiver design and testing. A software-defined radio approach is widely used both in receivers and simulators, and its flexible structure to adopt to new signals is ideally suited to the testing of a receiver and signal processing algorithm in the signal design phase of a new satellite-based navigation system before the deployment of satellites in space. The generation of highly accurate delayed sampled codes is essential for generating signals in the simulator, where its sampling rate should be chosen to satisfy constraints such as Nyquist criteria and integer and non-commensurate properties in order not to cause any distortion of original signals. A high sampling rate increases the accuracy of code delay, but decreases the computational efficiency as well, and vice versa. Therefore, the selected sampling rate should be as low as possible while maintaining a certain level of code delay accuracy. This paper presents the lower limits of the sampling rate for GNSS signal generation simulators. In the simulation, two distinct code generation methods depending on the sampling position are evaluated in terms of accuracy versus computational efficiency to show the lower limit of the sampling rate for several GNSS signals.

• Communications for Statistical Applications and Methods
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• 제25권1호
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• pp.1-13
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• 2018

In many studies, a researcher attempts to describe a population where units are measured for multiple outcomes, or responses. In this paper, we present an efficient procedure based on ranked set sampling to estimate and perform hypothesis testing on a multivariate mean. The method is based on ranking on an auxiliary covariate, which is assumed to be correlated with the multivariate response, in order to improve the efficiency of the estimation. We showed that the proposed estimators developed under this sampling scheme are unbiased, have smaller variance in the multivariate sense, and are asymptotically Gaussian. We also demonstrated that the efficiency of multivariate regression estimator can be improved by using Ranked set sampling. A bootstrap routine is developed in the statistical software R to perform inference when the sample size is small. We use a simulation study to investigate the performance of the method under known conditions and apply the method to the biomarker data collected in China Health and Nutrition Survey (CHNS 2009) data.

• Communications for Statistical Applications and Methods
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• 제14권1호
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• pp.57-69
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• 2007

Adaptive cluster sampling design is known as a sampling method for rare clustered population. Three modified adaptive cluster sampling designs are proposed. The adjusted Hansen-Hurwitz estimator and the Horvitz-Thompson estimator are considered. Efficiency issue of the proposed sampling designs is discussed in a Monte-Carlo simulation study.

• 한국산림과학회지
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• 제98권2호
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• pp.133-141
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• 2009

This study was conducted to support for determining an efficient sampling design for forest resources assessments in South Korea with respect to statistical efficiency. For this objective, different systematic sampling designs were simulated and compared based on an artificial forest population that had been built from field sample data and satellite data in Yang-Pyeong County, Korea. Using the k-NN technique, two thematic maps (growing stock and forest cover type per pixel unit) across the test area were generated; field data (n=191) and Landsat ETM+ were used as source data. Four sampling designs (systematic sampling, systematic sampling for post-stratification, systematic cluster sampling, and stratified systematic sampling) were employed as optimum sampling design candidates. In order to compute error variance, the Monte Carlo simulation was used (k=1,000). Then, sampling error and relative efficiency were compared. When the objective of an inventory was to obtain estimations for the entire population, systematic cluster sampling was superior to the other sampling designs. If its objective is to obtain estimations for each sub-population, post-stratification gave a better estimation. In order to successfully perform this procedure, it requires clear definitions of strata of interest per field observation unit for efficient stratification.