• 제목/요약/키워드: sampling cost

검색결과 561건 처리시간 0.064초

축산물생산비조사를 위한 복합표본설계 (A Complex Sampling Design for the Estimation of Korean Livestock Production Cost)

  • 김수택;김영원
    • 응용통계연구
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    • 제21권4호
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    • pp.675-694
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    • 2008
  • 축산물 생산비 조사는 우리나라에서 생산되는 7종의 주요 축산물에 대한 생산비를 산출하는 것을 목적으로 한다. 따라서 2005년 농업총조사 자료를 바탕으로 전국의 양축 농가 현황을 파악하였으며, 축산물별 평균 생산비에 대한 추정오차가 3%이내가 되도록 표본 축산농가수를 결정하고, 표본의 대표성을 유지하면서 조사 업무의 수월성을 고려하여 농업특성화 조사구를 1차 추출단위로 활용하였다. 본 연구에서는 농업특성화 조사구들을 양축 특성에 따라 층화하고 각 층에서 예비 표본 조사구를 추출하였다. 다음으로 예비 표본 조사구를 실사하여 1단계 표본을 구성하고, 1단계 표본 양축 농가로부터 최종 표본 농가를 계통추출하는 이중추출법을 이용하였으며 이에 따른 추정법을 제시하였다.

계수선별형 샘플링검사의 경제성에 관한 연구 (A Study on the Economical Design of Sampling Inspection Method by Attribute)

  • 김진수;권혁윤
    • 산업경영시스템학회지
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    • 제20권41호
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    • pp.147-156
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    • 1997
  • This Study deals with the problem of determining a minimum cost sampling inspection plan for destructive testing by attribute. The linear cost model(LCM) is constructed under the assumption that unit cost, destructive testing cost, producer's risk cost, consumer's risk cost are given. For the solution from the LCM, we assumed the uniform distribution as a prior distribution.

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破壤檢査詩의 最小費용 샘플링 檢査方式 (A minimum cost sampling inspection plan for destructive testing)

  • 趙星九;裵道善
    • Journal of the Korean Statistical Society
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    • 제7권1호
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    • pp.27-43
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    • 1978
  • This paper deals with the problem of obtaining a minimum cost acceptance sampling plan for destructive testing. The cost model is constructed under the assumption that the sampling procedure takes the following form; 1) lots rejected on the first sample are acreened with a non-destructive testing, 2) the screening is assumed to be imperfect, and therefore, after the screening, a second sample is taken to determine whether to accept the lot of to scrap it. The usual sampling procedures for destructive testing can be regarded as special cases of the above one. Utilizing Hald's Bayesian approach, procedures for finding the global optimal sampling plans are given. However, when the lot size is large, the global plan is very different to obtain even with the aid of an electronic computer. Therefore a method of finding suboptimal plan is suggested. An example with uniform prior is also given.

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An Integrated Sequential Inference Approach for the Normal Mean

  • Almahmeed, M.A.;Hamdy, H.I.;Alzalzalah, Y.H.;Son, M.S.
    • Journal of the Korean Statistical Society
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    • 제31권4호
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    • pp.415-431
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    • 2002
  • A unified framework for statistical inference for the mean of the normal distribution to derive point estimates, confidence intervals and statistical tests is proposed. This optimal design is justified after investigating the basic information and requirements that are possible and impossible to control when specifying practical and statistical requirements. Point estimation is only credible when viewed in the larger context of interval estimation, since the information required for optimal point estimation is unspecifiable. Triple sampling is proposed and justified as a reasonable sampling vehicle to achieve the specifiable requirements within the unified framework.

다결정(多決定) 대안(代案)을 갖는 경제적(經濟的) 계량형(計量型) 샘플링검사방식(檢査方式) (An Economic Variables Sampling Plan with Multi-Decision Alternatives)

  • 배도선;홍성훈
    • 대한산업공학회지
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    • 제17권1호
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    • pp.1-8
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    • 1991
  • For situations where there are several markets for a product with different profit/cost structures, an economic variables sampling plan is developed for determining the market to ship the lots to. It is assumed that the quality characteristic X is normally distributed with known variability and unknown mean having a normal prior distribution. Profit models are constructed which involve four profit/cost components ; profit from a conforming item, inspection cost, replacement cost, and cost from an accepted nonconforming item. Methods of finding optimal sampling plan are presented and a numerical example is given.

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Optimal Allocations in Two-Stage Cluster Sampling

  • Koh, Bong-Sung
    • Communications for Statistical Applications and Methods
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    • 제6권3호
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    • pp.749-754
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    • 1999
  • The cost is known to be proportional to the size of sample. We consider a cost function of the form Cost=c1np+c2npmq where c1, c2 p, and q are all positive constants. This cost function is to be used in finding an optimal allocation in two-stage cluster sampling. The optimal allocations of n and m gives the properties of uniqueness under some conditions and of monotonicity with p>0 when q=1.

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대용변수를 이용한 가변형 부분군 채취 간격 X 관리도의 경제적 설계 (Economic Design of Variable Sampling Interval X Control Chart Using a Surrogate Variable)

  • 이태훈;이주호;이민구
    • 대한산업공학회지
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    • 제39권5호
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    • pp.422-428
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    • 2013
  • In many cases, an $\bar{X}$ control chart which is based on the performance variable is used in industrial fields. However, if the performance variable is too costly or impossible to measure and a less expensive surrogate variable is available, the process may be more efficiently controlled using surrogate variables. In this paper, we propose a model for the economic design of a VSI (Variable Sampling Interval) $\bar{X}$ control chart using a surrogate variable that is linearly correlated with the performance variable. The total average profit model is constructed, which involves the profit per cycle time, the cost of sampling and testing, the cost of detecting and eliminating an assignable cause, and the cost associated with production during out-of-control state. The VSI $\bar{X}$ control charts using surrogate variables are expected to be superior to the Shewhart FSI (Fixed Sampling Interval) $\bar{X}$ control charts using surrogate variables with respect to the expected profit per unit cycle time from economic viewpoint.

최소비용(最小費用) 연속생산형(連續生産型) 샘플링검사(檢査)의 탐색(探索) (An Approach to select the lowest cost CSP-1 sampling plan(i, f))

  • 장경;신현재
    • 품질경영학회지
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    • 제11권1호
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    • pp.18-23
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    • 1983
  • Continuous sampling plans CSP-1(i,f)'s with which AOQL is guaranteed, can be applied to the cases in need of effective sampling without stopping the process or dividing batches during production. But the plans that can guarantee the same AOQL value are too many. Therefore we have to select one plan among them. There may be a lot of ways to choose it. This paper connects with various sampling costs, the concept to try to detect the shift of process average under fractional inspection in CSP-1,to find a minimum cost sampling plan among several CSP-1 sampling plan alternatives (i, f)'s with the same AOQL value.

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Randomized Response Model with Discrete Quantitative Attribute by Three-Stage Cluster Sampling

  • Lee, Gi-Sung;Hong, Ki-Hak
    • Journal of the Korean Data and Information Science Society
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    • 제14권4호
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    • pp.1067-1082
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    • 2003
  • In this paper, we propose a randomized response model with discrete quantitative attribute by three-stage cluster sampling for obtaining discrete quantitative data by using the Liu & Chow model(1976), when the population was made up of sensitive discrete quantitative clusters. We obtain the minimum variance by calculating the optimum number of fsu, ssu, tsu under the some given constant cost. And we obtain the minimum cost under the some given accuracy.

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보증하(保證下)에 판매(販賣)되는 제품(製品)의 품질검사계획(品質檢査計劃) (Quality Inspection Plans for Products Sold under Warranty)

  • 김영호;이창훈
    • 대한산업공학회지
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    • 제11권2호
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    • pp.11-18
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    • 1985
  • Three types of warranty policies are considered. They are (1) free warranty policy for repairable products, (2) free warranty policy for nonrepairable products, and (3) rebate warranty policy. Under each warranty policy, a single sampling attribute plan with non-destructive testing is considered. A sampling plan is characterized by the sample size and the acceptance number. For each case, characteristics of an optimum sampling plan are discussed and determined, which minimize the warranty cost and the corresponding quality control cost within the assigned producer's risk and consumer's risk.

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