• 제목/요약/키워드: Selection probability

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Closed-Form Expressions for Selection Combining System Statistics over Correlated Generalized-K Fading Channels in the Presence of Interference

  • Nikolic, Bojana Z.;Stefanovic, Mihajlo C.;Panic, Stefan R.;Anastasov, Jelena A.;Milosevic, Borivoje
    • ETRI Journal
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    • 제33권3호
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    • pp.320-325
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    • 2011
  • This paper considers the effects of simultaneous correlated multipath fading and shadowing on the performances of a signal-to-interference ratio (SIR)-based dual-branch selection combining (SC) diversity receiver. This analysis includes the presence of cochannel interference. A generalized fading/shadowing channel model in an interference-limited correlated fading environment is modeled by generalized-K distribution. Closed-form expressions are obtained for probability density function and cumulative distribution function of the SC output SIR, as well as for the outage probability. Based on this, the influence of various fading and shadowing parameter values and the correlation level on the outage probability is examined.

표본선택 편의를 반영한 임금결정요인 분석 (The wage determinants applying sample selection bias)

  • 박성익;조장식
    • Journal of the Korean Data and Information Science Society
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    • 제27권5호
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    • pp.1317-1325
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    • 2016
  • 본 연구에서는 한국고용정보원에서 실시한 "2013 고졸자 취업진로조사" 자료를 활용하여 특성화고 졸업자의 임금결정요인을 분석하였다. 일반적으로 임금은 개인의 취업여부와 임금의 크기에 대한 두 가지의 복합적인 정보를 담고 있다. 그러나 임금 결정요인분석의 많은 선행연구에서는 후자의 정보만을 대상으로 최소제곱법에 기초한 선형 회귀분석을 수행함으로써 표본선택에 의한 편의 (sample selection bias) 문제가 발생하게 된다. 본 연구에서는 임금결정요인분석에서 표본선택에 의한 편의 문제를 극복하기 위해 Tobit 모형과 Heckman의 표본선택 모형을 분석에 활용하였다. 주요 분석 결과를 요약하면 다음과 같다. 먼저 Tobit 모형과 Heckman의 표본선택 모형에 대한 타당성은 통계적으로 유의함을 알 수 있었다. 성별은 취업확률과 임금의 크기에서 모두 통계적으로 유의한 것으로 나타났다. 마이스터고 졸업생은 취업확률과 임금의 크기 모두 기타고 졸업생에 비해서 높은 것을 알 수 있었으며, 부모소득이 높을수록 취업확률과 임금의 크기가 모두 통계적으로 유의하게 증가하였다. 부모학력이 고졸이하에 비해서 대졸이상이 취업확률은 통계적으로 유의하게 낮지만, 임금의 크기는 높게 나타났다. 고교성적은 높을수록, 고교 만족도가 높을수록, 그리고 자격증 수가 많을수록 취업확률과 임금의 크기 모두 통계적으로 유의하게 높은 것을 알 수 있다.

Efficient Channel State Feedback Scheme for Opportunistic Scheduling in OFDMA Systems by Scheduling Probability Prediction

  • Ko, Soomin;Lee, Jungsu;Lee, Byeong Gi;Park, Daeyoung
    • Journal of Communications and Networks
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    • 제15권6호
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    • pp.589-600
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    • 2013
  • In this paper, we propose a new feedback scheme called mode selection-based feedback by scheduling probability prediction (SPP-MF) for channel state feedback in OFDMA downlink system. We design the scheme such that it determines the more desirable feedback mode among selective feedback by scheduling probability prediction (SPP-SF) mode and bitmap feedback by scheduling probability prediction (SPP-BF) mode, by calculating and comparing the throughputs of the two modes. In both feedback modes, each user first calculates the scheduling probability of each subchannel (i.e., the probability that a user wins the scheduling competition for a subchannel) and then forms a feedback message based on the scheduling probability. Specifically, in the SPP-SF mode, each user reports the modulation and coding scheme (MCS) levels and indices of its best S subchannels in terms of the scheduling probability. In the SPP-BF mode, each user determines its scheduling probability threshold. Then, it forms a bitmap for the subchannels according to the scheduling probability threshold and sends the bitmap along with the threshold. Numerical results reveal that the proposed SPP-MF scheme achieves significant performance gain over the existing feedback schemes.

층화 이단계 표본추출시 최적 선택율 (Optimum Selection Probabilites in Stratified Two-stage Sampling)

  • 신민웅;오상훈
    • 응용통계연구
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    • 제14권2호
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    • pp.429-437
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    • 2001
  • 단순 이단계 표본 추출의 경우에 최적 선택률은 Hansen과 Hurwitz(1949)에 의하여 구하여졌다. 그러나 통계청에서 실시하는 표본조사등은 층화 이단계 추출을 한다. 따라서 실제적인 필요성에 의하여 층화 2단계 표본 설계를 시도 하였다. 층화 이단계 표본추출시에 주어진 비용아래서 모총계의 추정량의 분산을 최소로 하는 최적의 선택확률(optimum selection probability), 표본추출율과 부차 표본추출율을 Lagrangean 승수법에 의하여 구한다.

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Efficient Controlled Selection

  • Ryu, Jea-Bok;Lee, Seung-Joo
    • Communications for Statistical Applications and Methods
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    • 제4권1호
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    • pp.151-159
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    • 1997
  • In sample surveys, we expect preferred samples that reduce the survey cost and increase the precision of estimators will be selected. Goodman and Kish (1950) introduced controlled selection as a method of sample selection that increases the probability of drawing preferred samples, while decreases the probability of drawing nonpreferred samples. In this paper, we obtain the controlled plans using the maximum entropy principle, and when the order of nonpreferred samples is considered, we propose the algorithm to obtain a controlled plan.

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A LOWER BOUND ON THE PROBABILITY OF CORRECT SELECTIONFOR TWO-STAGE SELECTION PROCEDURE

  • Kim, Soon-Ki
    • Journal of the Korean Statistical Society
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    • 제21권1호
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    • pp.27-34
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    • 1992
  • This paper provides a method of obtaining a lower bound on the probability of correct selection for a two-stage selection procedure. The resulting lower bound sharpens that by Tamhane and Bechhofer (1979) for the normal means problem with a common known variance. The design constants associated with the lower bound are computed and the results of the performance comparisons are given.

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Performance Analysis of Selection Combining Technique for MPSK over Independent But Non-Identically Distributed Rayleigh Fading Channels

  • 보뉘웬�o바오;공형윤
    • 한국통신학회논문지
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    • 제34권2A호
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    • pp.91-98
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    • 2009
  • This paper provides new exact-closed form expressions for average SER and average BER as well as outage probability for M-PSK signaling with selection combining over independent but non-identically distributed Rayleigh fading paths. The validity of these expressions is verified by the Monte-Carlo simulations. All of numerical results are in excellent agreement with simulation results.

퍼지 클러스터링을 이용한 확률분포함수 기반의 다중문턱값 선정법 (Selection Method of Multiple Threshold Based on Probability Distribution function Using Fuzzy Clustering)

  • 김경범;정성종
    • 한국정밀공학회지
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    • 제16권5호통권98호
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    • pp.48-57
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    • 1999
  • Applications of thresholding technique are based on the assumption that object and background pixels in a digital image can be distinguished by their gray level values. For the segmentation of more complex images, it is necessary to resort to multiple threshold selection techniques. This paper describes a new method for multiple threshold selection of gray level images which are not clearly distinguishable from the background. The proposed method consists of three main stages. In the first stage, a probability distribution function for a gray level histogram of an image is derived. Cluster points are defined according to the probability distribution function. In the second stage, fuzzy partition matrix of the probability distribution function is generated through the fuzzy clustering process. Finally, elements of the fuzzy partition matrix are classified as clusters according to gray level values by using max-membership method. Boundary values of classified clusters are selected as multiple threshold. In order to verify the performance of the developed algorithm, automatic inspection process of ball grid array is presented.

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탐지확률 분석에 의한 입수점 선정 알고리듬 개발 방안 (A Development Method for Water Entry Point Selection Algorithm by Detection Probability Analysis)

  • 조성봉
    • 한국군사과학기술학회지
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    • 제10권4호
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    • pp.30-37
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    • 2007
  • In this paper, Water Entry Point Selection Algorithm(WEPSA) for selecting an optimal Water Entry Point of anti-submarine missiles which maximizes Detection Probability about a given target was investigated. WEPSA is a method which decides the position of an optimal Water Entry Point with calculating the target Detection Probability of a torpedo in the whole domain which centered by the target, performing the Monte-Carlo Simulations which include errors for the target informations and for weapon delivery. We can decide an optimal Water Entry Point of anti-submarine missiles which maximizes Detection Probability about a given target with WEPSA, if we get target informations about target range, target bearing, target speed and target course from Combat Systems.

디코딩 후 전달 중계 기반 다중 홉 시스템에서 하나의 홉 채널 정보를 이용하는 중계 경로 선택 기법 연구 (Study on Relaying Path Selection Using One-Hop Channel Information in Decode-and-Forward Relaying Based Multi-Hop Systems)

  • 이인호
    • 한국ITS학회 논문지
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    • 제12권3호
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    • pp.87-95
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    • 2013
  • 본 논문에서는 다중 홉 시스템에서 하나의 홉에 대한 채널 정보만을 이용하는 효율적인 부분 중계 노드 선택(efficient partial relay selection, EPRS) 기법에 대한 아웃티지 확률을 레일레이 페이딩 채널에서 분석한다. 특히, 디코딩 후 전달 중계 기반의 EPRS 기법에 대한 정확한 아웃티지 확률의 식을 유도한다. 또한, 다중 홉 시스템에서 EPRS 기법의 실효성을 확인하기 위하여, 임의의 중계 경로에서 종단간 신호 대 잡음비와 각 홉의 신호 대 잡음비의 상관관계를 분석한다. 그리고, 수치적 결과를 통해 EPRS 기법과 모든 채널 정보를 이용하는 중계 노드 선택 기법의 아웃티지 성능을 비교한다.