• Title/Summary/Keyword: 잭나이프

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Jackknife Estimators in the Left Truncated Exponential Model

  • Cho, Kil-Ho;Cho, Jang-Sik
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.2
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    • pp.487-492
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    • 2006
  • Jackknife estimators for parameters in the left truncated exponential model are presented. And we show that the generalized jackknife estimators are more efficient than others in terms of the bias and the mean squared error.

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잭나이프 방법을 이용한 비추정

  • 조길호;조장식;김상룡;이우동
    • Communications for Statistical Applications and Methods
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    • v.4 no.1
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    • pp.301-310
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    • 1997
  • 본 연구에서는 비(ratio)에 대한 2차잭나이프 추정량을 제안하고, 그것의 편의와 분산이 집단의 수에 대한 감소함수임을 보인다. 또한, 이 추정량의 우수성을 편의와 평균제곱오차의 측면에서 기존의 추정량과 비교 분석한다.

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시군구 실업자 추정에서 분산 추정

  • Lee, Gye-O;Kim, Gyu-Yeong
    • Proceedings of the Korean Statistical Society Conference
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    • 2002.05a
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    • pp.7-12
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    • 2002
  • 경제활동인구조사에서 시군구의 실업자를 추정하는데 소지역 추정법을 이용하는 방안에 대한 연구는 관심의 대상이 되고 있다. 본 연구에서는 합성 추정법과 복합 추정법을 이용한 시군구 실업통계 작성법을 소개하였고 추정량이 편향이므로 잭나이프 방법을 이용한 추정량의 정도를 계산하는 절차를 설명하였으며, 광주광역시의 구별 실업통계작성을 사례로 제시하였다.

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Check for regression coefficient using jackknife and bootstrap methods in clinical data (잭나이프 및 붓스트랩 방법을 이용한 임상자료의 회귀계수 타당성 확인)

  • Sohn, Ki-Cheul;Shin, Im-Hee
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.4
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    • pp.643-648
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    • 2012
  • There are lots of analysis to determine the relation between dependent variable and explanatory variables. Often the regression analysis is used to do this, and we can analyze the how much the explanatory variable can be related with dependent variable and how much the regression model can explain the data. But the validation check of regression model is usually determined by coefficient of determination. We should check the validation of regression coefficient with different methods. This paper introduces the method for validation check the regression coefficient using the jackknife regression and bootstrap regression in clinical data.

Estimation of the Number of the Unemployed Using Small Area Estimation Methods (소지역 추정방법을 이용한 실업자 수 추정 사례연구)

  • Kwon, Se-Hyug
    • Survey Research
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    • v.10 no.1
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    • pp.141-154
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    • 2009
  • With the current sampling scheme, the sampling variance is getting larger in producing smaller regional statistics than the designed area, The larger sample size can make the variance reduced but the efficiency of sample survey lower. The desired confidence level of sampling survey can be obtained using the current sample scheme with the same sample size and administrative data. In this paper, the number of the unemployed of 5 regions in Daejon are estimated using small area estimation methods and the CV values in each estimation method is calculated and compared for their estimation efficiency as empirical study. Jackknife method is proposed to estimate the MSE of synthetic estimator and composite estimator more accurately.

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A comparison study on the estimation of the relative risk for the unemployed rate in small area (소지역의 실업률에 대한 상대위험도의 추정에 관한 비교연구)

  • Park, Jong-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.2
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    • pp.349-356
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    • 2009
  • In this study, we suggest the estimation method of the relative risk for the unemployment statistics of a small area such as si, gun, gu in Korea. The considered method are the usual pooled estimator, weighted estimator with the inverse of log-variance as weights, and the Jackknife estimator. And we compare with the efficiency of the three estimators by estimating the bias and mean square errors using real data from the 2002 Economically Active Population Survey of Gyeonggi-do. We compute the unemployed rate of male and female in small areas, and then estimate the common relative risk for the unemployed rate between male and female. Also, the stability and reliability of the three estimators for the common relative risk was evaluated using the RB(relative bias) and the RRMSE(relative root mean square error) of these estimators. Finally, the Jackknife estimator turned out to be much more efficient than the other estimators.

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Weighted Hot-Deck Imputation in Farm and Fishery Household Economy Surveys (농어가경제조사에서 가중핫덱 무응답 대체법의 활용)

  • Kim Kyu-Seong;Lee Kee-Jae;Kim Jin
    • The Korean Journal of Applied Statistics
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    • v.18 no.2
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    • pp.311-328
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    • 2005
  • This paper deals with a treatment of nonresponse in farm and fishery household economy surveys in Korea. Since the samples in two surveys were selected by stratified multi-stage sampling and weighted sample means has been used to estimate the population means, we choose a weighted hot-deck imputation method as an appropriate method for two surveys. We investigate the procedure of the weighted hot-deck as well as an adjusted jackknife method for variance estimation. Through an empirical study we found that the method worked very well in both mean and variance estimation in two surveys. In addition, we presented a procedure of forming imputation class and formed four imputation classes for each survey and then compared them with analysis. As a result, we presented two most efficient imputation classes for two surveys.

Design-Based Small Area Estimation for the Korean Economically Active Population Survey (시군구 실업자 총계 추정을 위한 설계기반 간접추정법)

  • 정연수;이계오;이우일
    • The Korean Journal of Applied Statistics
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    • v.16 no.1
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    • pp.1-14
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    • 2003
  • In this study, we suggest the method of small area estimation based on the Economically Active Population Survey (EAPS) data in producing unemployment statistics for the local self-government areas (LSGAs) within large areas. The small area estimators considered are design-based indirect estimators such as the synthetic and composite estimators. The jackknife mean square error was used as a measure of accuracy of such small area estimators. The total unemployed and jackknife mean square errors of the 10 LSGAs within the large area of ChoongBuk region are derived from the estimation procedure suggested in this study, using EAPS data of December 2000. The reliability of small area estimators was assessed using the relative bias values and relative root mean square errors of these estimators. We find that under the current Korean EAPS system, the composite estimator turns out to be much more stable than other estimators.

Bootstrap Variance Estimation for Calibration Estimators in Stratified Sampling (층화 추출에서 보정추정량에 대한 붓스트랩 분산 추정)

  • 염준근;정영미
    • Proceedings of the Korean Association for Survey Research Conference
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    • 2001.11a
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    • pp.77-85
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    • 2001
  • In this paper we study the calibration estimator and its variance estimator for the population total using a bootstrap method according to the levels of an auxiliary information having strong correlation with an interested variable in nonresponse situation. At this point, we find tire calibration estimator in case of auxiliary information for population and sample, and then we drive the bootstrap variance estimator of it. By simulation study we compare the efficiencies with the Taylor and Jackknife variance estimators.

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Recognition of License Plate of Car in Vehicle Motion Images (도로 동영상에서 차량번호판 인식)

  • Lee, Hyang-Jeong;Lee, Hyo-Jong;Lee, Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.04a
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    • pp.775-778
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    • 2002
  • 본 논문에서는 도로를 주행하는 차량영상으로부터 번호판의 인식에 대한 연구이다. 차량을 검출하기 위해 두 프레임의 차를 이용하여 도로상에서 차량을 분리하였고, 번호판 영역을 추출하기 위해 명암도 변화의 파형 곡선 결과에 임계값을 적용하여 번호판을 추출하였다. 번호판 영역 검출은 96.05%의 검출결과를 얻었으며, 차량의 번호판 문자인식은 신경망을 통하여 학습 시켰 그 성능은 잭나이프 기법을 통해 측정하였다. 학습데이터에 대해서는 99.85 비학습데이터에 대해서는 88.15%의 인식율을 보였다.

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