• Title/Summary/Keyword: 층화이중추출

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Unrelated question model with quantitative attribute by stratified double sampling (층화이중추출법에 의한 양적속성의 무관질문모형)

  • 이기성;홍기학
    • The Korean Journal of Applied Statistics
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    • v.8 no.1
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    • pp.27-38
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    • 1995
  • In the surveys of sensitive issues of the population that is composed of several unknown-size stratum, we propose the unrelated question model with quantitative attribute by using stratified double sampling. And, we consider two types of sample allocations under the fixed cost, which are the proportional allocation, the optimum allocation. In efficiency, the proosed model is inferior to the unrelated question model with quantitative attribute by stratified sampling in case of the size of each stratum is known. But we find that efficiency of the proposed model is increased, when the selecting probability of sensitive question p is small and first stage sample size n' is large.

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A Combined Randomized Response Technique Using Stratified Two-Phase Sampling (층화이중추출을 이용한 결합 확률화응답기법)

  • 홍기학
    • The Korean Journal of Applied Statistics
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    • v.17 no.2
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    • pp.303-310
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    • 2004
  • We suggest a method to procure information from the sensitive population which combine a direct survey method, BB and an indirect survey one, RRT, and a combined estimator that uses the stratified double sampling to estimate the sensitive parameter. We compare the efficiency of our estimator with that of Mangat and Singh model.

Mean Estimation in Two-phase Sampling (이중추출에서 모평균 추정)

  • 김규성;김진석;이선순
    • The Korean Journal of Applied Statistics
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    • v.14 no.1
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    • pp.13-24
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    • 2001
  • In this paper, we investigated mean estimation methods in two-phase sampling. Under the fixed expected cost we reviewed the optimal sample sizes, minimum variances and approximate unbiased variance estimators for usual ratio estimator, stratified sample mean with proportional allocation and Rao's allocation of the second phase sample. Also we proposed combined ratio estimator, which uses both ratio estimation and stratification and derived optimal sample size, minimum variance and unbiased variance estimator. Through a limited simulation study, we compared estimators by design effects and came to know that ratio estimator is more efficient than stratified sample mean in some cases and inefficient in the other cases, but combined ratio estimator is more efficient than others in most cases.

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민감한 정보를 얻기 위한 대체 전략에 관한 연구

  • Hong, Gi-Hak;Lee, Gi-Seong;Son, Chang-Gyun
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.10a
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    • pp.195-199
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    • 2003
  • Hansen과 Hurwitz(1946)는 우편조사에서의 무응답 문제를 처리하는 방법으로 표본을 응답결과에 따라 응답층과 무응답층으로 나눈 다음, 무응답층의 일부를 랜덤 추출하여 면대면 직접조사에 의해 무응답층의 정보를 얻는 방법을 제안하였다. 본 연구에서는 민감한 모집단에 대한 자료수집 방법으로 직접질문 방법인 Black-Box 방법과 간접질문 방법인 확률화응답기법(RRT)의 결합적 방법을 제시하였고, 층화이중 추출방법을 이용하여 모수를 추정하였다.

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이중 추출 방법을 이용한 단위 무응답의 가중치 조정방법에 관한 연구

  • Yeom, Jun-Geun;Son, Chang-Gyun;Jeong, Yeong-Mi
    • Proceedings of the Korean Statistical Society Conference
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    • 2002.05a
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    • pp.13-18
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    • 2002
  • 이중추출(two-phase)접근방법 이용의 주목적은 관심변수와 보조변수사이의 관계를 이용해서 더 좋은 추정을 하고자 하는 것이다. 특히 이 방법은 층화, 무응답 문제에 적용하는 경우 상당히 효과적이다. 본 논문에서는 무시할 수 있는 무응답이 발생했을 때 이중추출기법을 이용해서 g-가중치와 응답확률을 각 단계별로 조정해줌으로써 무응답 보정추정량과 분산추정량을 구했다.

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An outlier weight adjustment using generalized ratio-cum-product method for two phase sampling (이중추출법에서 일반화 ratio-cum-product 방법을 이용한 이상점 가중치 보정법)

  • Oh, Jung-Taek;Shin, Key-Il
    • The Korean Journal of Applied Statistics
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    • v.29 no.7
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    • pp.1185-1199
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    • 2016
  • Two phase sampling (double sampling) is often used when there is inadequate population information for proper stratification. Many recent papers have been devoted to the estimation method to improve the precision of the estimator using first phase information. In this study we suggested outlier weight adjustment methods to improve estimation precision based on the weight of the generalized ratio-cum-product estimator. Small simulation studies are conducted to compare the suggested methods and the usual method. Real data analysis is also performed.

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

  • Kim, Soo-Taek;Kim, Young-Won
    • The Korean Journal of Applied Statistics
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    • v.21 no.4
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    • pp.675-694
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    • 2008
  • We propose a new sampling design for the Korean Livestock Production Cost Survey. In this sampling design, the survey population is derived from the 2005’s agricultural census of Korea. And coefficient of variation(CV) is estimated from the current livestock production cost survey data, and the estimated CV’s are used to find the optimal sample size which satisfies the predetermined precision of estimation. In order to save the enumeration cost, the agriculture enumeration districts are used as a primary sampling unit(psu). Final sample is selected by double sampling. Also, we propose the estimator which is able to reflect the change of the population of livestock production households.

Estimation of Forest Growing Stock by Combining Annual Forest Inventory Data (연년 산림자원조사 자료를 이용한 임목축적 추정)

  • Yim, Jong Su;Jung, Il Bin;Kim, Jong Chan;Kim, Sung Ho;Ryu, Joo Hyung;Shin, Man Yong
    • Journal of Korean Society of Forest Science
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    • v.101 no.2
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    • pp.213-219
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    • 2012
  • The $5^{th}$ national forest inventory (NFI5) has been reorganized to annual inventory system for providing multi-resources forest statistics at a point in time. The objective of this study is to evaluate statistical estimators for estimating forest growing stock in Chungcheongbuk-Do from annual inventory data. When comparing two estimators; simple random sampling (SRS) and double sampling for post-stratification (DSS), for estimating mean forest growing stock ($m^3/ha$) at each surveyed year, the estimate for DSS in which a population of interest is stratified into three sub-population (forest cover types) was more precise than that for SRS. To combine annual inventory field data, three estimators (Temporally Indifferent Method; TIM, Moving Average; MA, and Weighted Moving Average; WMA) were compared. Even though the estimated mean for TIM and WMA is identical, WMA-DSS is preferred to provide more smaller variance of estimated mean and to adjust for catastrophic events at a surveyed year (so-called "lag bias") by annual inventory data.

Improvement in Calculating Engineer Standard Wage Rate and Its Appropriate Level Computation (엔지니어링 노임단가 산출기준 개선방안과 적정 노임단가 추정)

  • Lee, Jae Yul;Lee, Hae Kyung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.6
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    • pp.853-860
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    • 2022
  • The purpose of this study is to suggest an improvement plan for the calculation method of the engineer standard wage rate (ESWR) and to compute a reasonable ESWR. To this end, an adequacy review of theESWR calculation criteria was conducted along with an extensive engineering industry survey. The survey results were analyzed using an effective response sample of 748 companies out of 1,000 survey samples extracted by stratifying the 5,879 survey population. The main results were as follows. ①When calculating the engineering service fee, the prime contractor's engineer wage is suitable for the ESWR. The ESWR can be estimated by the formula 'average wage÷[1-proportion of subcontract orders×(1-subcontract rate)].' ② The field survey showed that the number of monthly working days was 20.35-20.54 days at 99 % confidence interval, which was significantly different from the current standard (22 days). In addition, as a result of a legal review of the ESWR criteria, it was found that the number of working days should be calculated in accordance with the Labor Standards Act after 2022. ③ Applying government guidelines, the time difference between the wage survey and the ESWR application can be corrected by the past ESWR increase rate for a specific period. ④ Using modeling based on the analysis above, the current ESWR was 13.5-14.5 % lower than the appropriate level. A lower ESWR was driven by the non-reflection of subcontract structure (4.1 %), overestimation of monthly work days (6.8-7.8 %), and application of past wage (2.6 %). The proposed model is expected to be widely used in policy making, as it can provide a useful framework for calculating the standard wage rate in similar industries as well as calculating appropriate engineering fees.

Changes in National Health Insurance Medical Expenses and Long-Term Care Costs between the Long-Term Care Group and General Older Adults Group before and after Long-Term Care Use (노인장기요양급여 이용 전후 장기요양군과 일반노인군 간 국민건강보험 및 노인장기요양보험 비용 추이)

  • Seung-Jin Oh;Kang Ju Son
    • Health Policy and Management
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    • v.34 no.3
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    • pp.249-260
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    • 2024
  • Background: The Republic of Korea's aging population escalates medical and long-term care costs. While prior research has suggested that long-term care might reduce these costs, these studies had limitations in their subjects and duration, making it difficult to generalize the results. This study aims to evaluate cost changes between the long-term care group and the general older adults group after addressing these limitations. Methods: A cohort was derived from the 2015 national population using stratified sampling. Subsequently, 15,114 individuals (7,557 in each group) were identified through 1:1 propensity score matching. The study employed a difference-in-differences analysis to explore variances in medical costs and long-term care benefits post-utilization of long-term care services. Results: Compared to the general older adults group, the long-term care group experienced a reduction in monthly per capita total medical costs by 56,459 Korean won (KRW). Although costs at tertiary and general hospitals increased, those related to long-term care hospitals decreased by 90,687 KRW. Including long-term care benefits, overall expenditures increased by 948,038 KRW. Conclusion: The analysis reveals that the long-term care group faces higher medical costs in acute care than the general older adults group, emphasizing a greater need for medical services within this group. To meet the increasing medical demands of the long-term care group, a collaborative strategy linking community resources, healthcare, and long-term care facilities is imperative. Additionally, developing and implementing preventive health habit management strategies for middle-aged and older adults is essential to diminish the future requirement for long-term care.