• 제목/요약/키워드: Inclusion probability

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An Optimal Scheme of Inclusion Probability Proportional to Size Sampling

  • Kim Sun Woong
    • Communications for Statistical Applications and Methods
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    • 제12권1호
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    • pp.181-189
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    • 2005
  • This paper suggest a method of inclusion probability proportional to size sampling that provides a non-negative and stable variance estimator. The sampling procedure is quite simple and flexible since a sampling design is easily obtained using mathematical programming. This scheme appears to be preferable to Nigam, Kumar and Gupta's (1984) method which uses a balanced incomplete block designs. A comparison is made with their method through an example in the literature.

포함확률비례추출에서 회귀계수 최소제곱추정량의 근사분산 (Approximate Variance of Least Square Estimators for Regression Coefficient under Inclusion Probability Proportional to Size Sampling)

  • 김규성
    • Communications for Statistical Applications and Methods
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    • 제19권1호
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    • pp.23-32
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    • 2012
  • 본 논문은 유한모집단에서 회귀계수추정량의 근사편향과 근사분산을 다루고 있다. 유한모집단에서 고정크기 포함확률비례표본을 추출하고 이 표본에서 조사된 데이터에 기초하여 회귀계수를 일반최소제곱추정량과 가중최소제곱추정량으로 추정할 때 두 추정량의 편향, 분산 그리고 평균제곱오차의 근사식을 유도하였다. 그리고 두 추정량의 효율을 비교하기 위하여 두 추정량의 분산을 비교하는 필요충분조건을 제시하였다. 또한 수치적인 비교를 위하여 간단한 예제를 소개하였다.

INCLUSION AND EXCLUSION FOR FINITELY MANY TYPES OF PROPERTIES

  • Chae, Gab-Byoung;Cheong, Min-Seok;Kim, Sang-Mok
    • 호남수학학술지
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    • 제32권1호
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    • pp.113-129
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    • 2010
  • Inclusion and exclusion is used in many papers to count certain objects exactly or asymptotically. Also it is used to derive the Bonferroni inequalities in probabilistic area [6]. Inclusion and exclusion on finitely many types of properties is first used in R. Meyer [7] in probability form and first used in the paper of McKay, Palmer, Read and Robinson [8] as a form of counting version of inclusion and exclusion on two types of properties. In this paper, we provide a proof for inclusion and exclusion on finitely many types of properties in counting version. As an example, the asymptotic number of general cubic graphs via inclusion and exclusion formula is given for this generalization.

변수변환에 의한 수정 HORVITZ-THOMPSON 추정량 (A Modified Horvitz-Thompson Estimator by Transformation of Variables)

  • 류제복
    • 응용통계연구
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    • 제17권1호
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    • pp.27-34
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    • 2004
  • Horvitz-Thompson(H-T)추정량이 확률비례추정량에 비해 효율이 떨어지는 경우가 있다 이를 극복하기 위해서 2단계 변수변환을 한다. 1단계로는 Midzuno-Sen추출을 적용하기 위해서 보조변수를 변환하고, 이로부터 얻은 포함확률을 H-T추정량에 사용할 때 분산을 줄이기 위해서 2단계로 연구변수를 변환하였다. 이러한 변환을 통해 얻은 추정량과 기존의 PPS 추정량들을 비교하였다.

착륙장치용 Structural Fuse 파손확률 계산 및 개선 방안 (Assessment for Failure Probability of Landing Gear Structural Fuse and Improvement Measure)

  • 이승규;김태욱;황인희;이정선;조정준;박총영
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.469-474
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    • 2008
  • The reason for crashworthy landing gear is to contribute to the overall aircraft design goals in the event of a crash. One of crashworthy landing gear design approaches is inclusion of structural fuse. Structural fuse is used to control the mode of failure of landing gear. If structural fuse doesn't work at desired condition, other unexpected accidents can occur. In this paper, failure probability is calculated for landing gear structural fuse and improvement measure is introduced to improve failure probability of structural fuse.

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Analysis of Nested Case-Control Study Designs: Revisiting the Inverse Probability Weighting Method

  • Kim, Ryung S.
    • Communications for Statistical Applications and Methods
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    • 제20권6호
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    • pp.455-466
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    • 2013
  • In nested case-control studies, the most common way to make inference under a proportional hazards model is the conditional logistic approach of Thomas (1977). Inclusion probability methods are more efficient than the conditional logistic approach of Thomas; however, the epidemiology research community has not accepted the methods as a replacement of the Thomas' method. This paper promotes the inverse probability weighting method originally proposed by Samuelsen (1997) in combination with an approximate jackknife standard error that can be easily computed using existing software. Simulation studies demonstrate that this approach yields valid type 1 errors and greater powers than the conditional logistic approach in nested case-control designs across various sample sizes and magnitudes of the hazard ratios. A generalization of the method is also made to incorporate additional matching and the stratified Cox model. The proposed method is illustrated with data from a cohort of children with Wilm's tumor to study the association between histological signatures and relapses.

마루높이 설정을 위한 월파확률의 신뢰성 해석 (Reliability Analysis of the Expected Overtopping Probability of Rubble Mound Breakwater)

  • Kweon, Hyuck-Min;Suh, Kyung-Doug;Lee, Young-Yeol
    • 한국해안해양공학회:학술대회논문집
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    • 한국해안해양공학회 2003년도 한국해안해양공학발표논문집
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    • pp.376-381
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    • 2003
  • The reliability analysis of overtopping probability is proposed. In order to estimate the expected overtopping probability of the rubble mound breakwater, the experimental results of individual wave runup height is applied for the analysis of irregular wave system. The joint distribution of wave heights and periods is used for the input data of runup calculation because the runup height depends on the wave height and period. The runup heights during the one event that the design wave attacks the rubble mound breakwater extend to the one life cycle of 60 years. Utilizing the Monte-Carlo method, the one life cycle is tried more about 60 times for obtaining the expected value of overtopping probability. It is found that the inclusion of the variability of wave tidal and wave steepness has great influence on the computation of the expected overtopping probability of rubble mound breakwater. The previous design disregarding the tidal fluctuation largely overestimates or underestimates the expected overtopping probability depending on tidal range and wave steepness.

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Effects of Health Behavior Factors and Mental Health Factors in Korean Obese Adults on Their Metabolic State: Utilizing the Korea National Health and Nutrition Examination Survey Data

  • Song, Jeonghee;Han, Jeongwon
    • International Journal of Contents
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    • 제13권3호
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    • pp.49-58
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    • 2017
  • This is a descriptive research study that classified Korean adults with obesity into those with Metabolically Healthy Obesity and those with Metabolically Unhealthy Obesity based on the data from the fifth and sixth South Korea's National Health and Nutrition Examination Surveys, designed due to the development of information and communication technology, to examine the impacts of obese adults' health behavior factors and mental health factors on their metabolic state. With respect to data analysis, the collected data were analyzed by complex sample statistics. The results of this study can be summarized as follows: Men who were smoking at the time of the survey had a 1.29 times higher probability of inclusion in the MUO group than in the MHO group. Women who had a high stress cognition rate had a 1.02 times higher probability of inclusion in the MUO group than in the MHO group. This study is significant as it provides the basic data for establishing strategies of nursing intervention for the promotion of obese adults' health, and it suggests that it is necessary to develop a program for the promotion of obese adults' health based on these results.

Mean estimation of small areas using penalized spline mixed-model under informative sampling

  • Chytrasari, Angela N.R.;Kartiko, Sri Haryatmi;Danardono, Danardono
    • Communications for Statistical Applications and Methods
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    • 제27권3호
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    • pp.349-363
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    • 2020
  • Penalized spline is a suitable nonparametric approach in estimating mean model in small area. However, application of the approach in informative sampling in a published article is uncommon. We propose a semiparametric mixed-model using penalized spline under informative sampling to estimate mean of small area. The response variable is explained in terms of mean model, informative sample effect, area random effect and unit error. We approach the mean model by penalized spline and utilize a penalized spline function of the inclusion probability to account for the informative sample effect. We determine the best and unbiased estimators for coefficient model and derive the restricted maximum likelihood estimators for the variance components. A simulation study shows a decrease in the average absolute bias produced by the proposed model. A decrease in the root mean square error also occurred except in some quadratic cases. The use of linear and quadratic penalized spline to approach the function of the inclusion probability provides no significant difference distribution of root mean square error, except for few smaller samples.

강도-응력 간섭모델을 적용한 철도차량용 차륜의 피로강도 및 신뢰성 평가법 (An Evaluation Method of Fatigue Strength and Reliability in a Railway Wheel with an Application of Strength-Stress Interference Model)

  • 박병노;김기환;김호경
    • 한국철도학회논문집
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    • 제5권2호
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    • pp.118-124
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    • 2002
  • The failure probability of wheel beyond 10$\^$7/ cycles is achieved by the strengths-stress interference model for the evaluation of fatigue strength and reliability in the wheel, From plane bending fatigue test results, the fatigue life (N$\_$f/) for the smooth and 200㎛ holed specimens can be represented as $\sigma$$\_$a/ = 1326N$\_$f/$\^$-0.10/ and $\sigma$$\_$a/ = 2894N$\_$f/$\^$-0.18/. Respectively, fatigue strength of the wheel at beyond 10$\^$7/cycles was about 332 MPa. And, the fatigue strength for the specimen with a micro hole (d=200㎛) which simulated an inclusion on the wheel surface was about 235 MPa. Thus, a micro hole (d=200㎛) caused about 30% reduction of fatigue strength of the specimen. The failure probabilities for the smooth and micro-holed specimens, derived from the strength-stress interference model, are 0.0148% and 13.05%, respectively. The current finding suggests that at least 200 ㎛ sized inclusion, which might be produced during manufacturing process, will cause a critical effect on integrity of the railway vehicle.