• 제목/요약/키워드: Probability inequality

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장애가 비만 단계별 유병률에 미치는 영향: 장애중증도, 장애유형을 고려하여 (The Influence of Disability on Prevalence of Obesity at Each Stage: Considering Severity and Type of Disability)

  • 정재연;구준혁;신의철;이해종
    • 보건행정학회지
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    • 제30권3호
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    • pp.345-354
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    • 2020
  • Background: This study purposed to examine the difference in the prevalence of obesity at each stage among people with and without disabilities considering the severity and type of disability. Methods: The study targeted a total of 1,315,967 people, including 68,418 disabled and 1,247,549 non-disabled, who completed the national health screenings. Logistic analysis and average marginal effect analysis were conducted in three stages (pre-obesity, obesity, severe obesity). Those analyses were conducted considering the severity and type of disabilities. Results: People with disabilities were more likely to be at all stages of obesity than non-disabled people. In severely disabled people, the probability of obesity was higher than non-disabled people at all stages of obesity, but mildly disabled people had a higher only in the severe obesity stage, no difference in obesity stage, and a low in the pre-obesity stage. In physical and mental disabilities, the probability of obesity was higher than non-disabled people at all stages of obesity, but external physical function and internal organs disabled had a lower in the obesity and pre-obesity stage, and no difference in severe obesity stage. Conclusion: This study found that people with disabilities had a higher relationship with obesity than people without disabilities. In addition, severity and types of disabilities have different effects on the stage of obesity. Therefore, it is necessary to care about the health inequality and health of disabled people considering their severity and types of disabilities.

Probabilistic Constrained Approach for Distributed Robust Beamforming Design in Cognitive Two-way Relay Networks

  • Chen, Xueyan;Guo, Li;Dong, Chao;Lin, Jiaru;Li, Xingwang;Cavalcante, Charles Casimiro
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권1호
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    • pp.21-40
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    • 2018
  • In this paper, we propose the distributed robust beamforming design scheme in cognitive two-way amplify-and-forward (AF) relay networks with imperfect channel state information (CSI). Assuming the CSI errors follow a complex Gaussian distribution, the objective of this paper is to design the robust beamformer which minimizes the total transmit power of the collaborative relays. This design will guarantee the outage probability of signal-to-interference-plus-noise ratio (SINR) beyond a target level at each secondary user (SU), and satisfies the outage probability of interference generated on the primary user (PU) above the predetermined maximum tolerable interference power. Due to the multiple CSI uncertainties in the two-way transmission, the probabilistic constrained optimization problem is intractable and difficult to obtain a closed-form solution. To deal with this, we reformulate the problem to the standard form through a series of matrix transformations. We then accomplish the problem by using the probabilistic approach based on two sorts of Bernstein-type inequalities and the worst-case approach based on S-Procedure. The simulation results indicate that the robust beamforming designs based on the probabilistic method and the worst-case method are both robust to the CSI errors. Meanwhile, the probabilistic method can provide higher feasibility rate and consumes less power.

그룹검사 문제에 대한 성능 하한치 (A Lower Bound for Performance of Group Testing Problems)

  • 성진택
    • 한국정보전자통신기술학회논문지
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    • 제11권5호
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    • pp.572-578
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    • 2018
  • 본 논문은 조합 문제의 하나로써 그룹검사(Group Testing)의 성능 하한치를 유도한다. 그룹검사는 2차 세계대전 동안 군인들의 매독 감염을 검진하기 위해 시작되었고 지금까지 오랫동안 학문적 기초를 마련하였다. 최근 들어 그룹검사의 활용가치가 증대되어 재발견됨으로써 학계에서 큰 관심을 받고 있다. 그룹검사는 다수의 샘플 중에서 극소수의 결함 샘플을 찾는 문제와 동일하며, 이것은 압축센싱(Compressed Sensing)의 선형 역문제(inverse problem)와 유사하다. 본 논문에서는 그룹검사가 무엇인지 살펴보고 그룹검사의 관련 연구내용을 알아본다. 정보이론에서 사용한 조건부 엔트로피와 에러율 간의 관계를 밝히는 정리를 이용하여 결함 샘플을 찾기 위해 필요한 검사 수에 대한 최소 에러율의 경계값을 도출할 뿐만 아니라 기존 연구와 어떠한 차이점이 있는지 살펴본다.

DIRICHLET FORMS AND DIFFUSION PROCESSES RELATED TO QUANTUM UNBOUNDED SPIN SYSTEMS

  • Lim, Hye-Young;Park, Yong-Moon;Yoo, Hyun-Jae
    • 대한수학회지
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    • 제33권4호
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    • pp.823-855
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    • 1996
  • We study Dirichlet forms and the associated diffusion processes for the Gibbs measures related to the quantum unbounded spin systems (lattice boson systems) interacting via superstable and regular potentials. This work is a continuation of the author's previous study on the classical systems [LPY] to the quantum cases. In [LPY], we constructed Dirichlet forms and the associated diffusion processes for the Gibbs measures of classical unbounded spin systems. Furthermore, we also showed the essential self-adjointness of the Dirichlet operator and the log-Sobolev inequality for any Gibbs measure under appropriate conditions on the potentials. In this atudy we try to extend the results of the classical systems to the quantum cases. Because of some technical difficulties, we are only able to construct a Dirichlet form and the associated diffusion process for any Gibbs measure of the quantum systems. We utilize the general scheme of the previous work on the theory in infinite dimensional spaces [AH-K1-2, AKR, AR1-2, Kus, MR, Ro, Sch] and the ideas we employed in our study of the calssical systems ]LPY].

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Sample size and statistical power consideration for diagnostic test research

  • Kim, Eu Tteum;Park, Choi Kyu;Pak, Son Il
    • 대한수의학회지
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    • 제48권3호
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    • pp.357-361
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    • 2008
  • Although power analysis is of important tool of research, investigators in veterinary medicine are unaware of the concepts of the statistical power. Two types of error occur in classical hypothesis testing and, those errors should be avoided, if possible. Since power is highly dependent on the sample size, whenever declaring non-statistically significant result they should consider the potential for committing a Type II error in their studies, which refers to the probability of falsely stating that two treatments are equivalent despite true difference between them. Also, sample size determination is one of the most important tasks facing the researcher when planning a diagnostic study, and provides valuable information on the characteristics of a test performance. This type of analysis forms the basis for proper interpretation of test results. The aim of this article was to re-evaluate some selected studies on diagnostic test reported in the domestic veterinary publications to determine the power and necessary sample size for inequality testing to ensure the desired power. Power calculations were illustrated using real-life examples of comparison of a new test and a reference test for detecting antibodies of various animal diseases. Factors affecting to the power were also discussed.

The Determinants of Accessibility of Financial Services in Vietnam

  • TRINH, Thi Thuy Hong;NGUYEN, Hoang Phong
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.1143-1152
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    • 2021
  • The study aims to assess the impact of factors on the access to financial services by Vietnamese farmers. The number of respondents in this study is 402 household heads participating in six diverse agricultural value chains in Vietnam. The explanatory variables of the Multinomial Logit model estimates variables at the individual characteristics while the Mixed Logit model can combine the two types of variables together to estimate the effects simultaneously. On the other hand, the Ordinal Logit model is used to evaluate the determinants of the increase in the quantity of financial services used by individuals. The estimation results show that male-headed households have more access to financial services than females. Younger farmers are more likely to use formal financial services than the elderly. Financial literacy, land ownership, and shocks in agricultural production all have a positive impact on the probability of dealing with banks. In addition, the degree of linkage and credibility of the value chain have a significant positive impact on the accessibility of financial services to farmers. The findings of this study suggest that limiting gender inequality, focusing on youth marketing and developing agricultural value chains will have a positive impact on farmers' access to financial services.

Modulation Recognition of BPSK/QPSK Signals based on Features in the Graph Domain

  • Yang, Li;Hu, Guobing;Xu, Xiaoyang;Zhao, Pinjiao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권11호
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    • pp.3761-3779
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    • 2022
  • The performance of existing recognition algorithms for binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK) signals degrade under conditions of low signal-to-noise ratios (SNR). Hence, a novel recognition algorithm based on features in the graph domain is proposed in this study. First, the power spectrum of the squared candidate signal is truncated by a rectangular window. Thereafter, the graph representation of the truncated spectrum is obtained via normalization, quantization, and edge construction. Based on the analysis of the connectivity difference of the graphs under different hypotheses, the sum of degree (SD) of the graphs is utilized as a discriminate feature to classify BPSK and QPSK signals. Moreover, we prove that the SD is a Schur-concave function with respect to the probability vector of the vertices (PVV). Extensive simulations confirm the effectiveness of the proposed algorithm, and its superiority to the listed model-driven-based (MDB) algorithms in terms of recognition performance under low SNRs and computational complexity. As it is confirmed that the proposed method reduces the computational complexity of existing graph-based algorithms, it can be applied in modulation recognition of radar or communication signals in real-time processing, and does not require any prior knowledge about the training sets, channel coefficients, or noise power.

극저준위 방사성폐기물의 방사성핵종 분포유형에 기초하여 자체처분기준 만족여부를 판단하기 위한 통계학적 접근방법 (Statistical Approach for Determination of Compliance with Clearance Criteria Based upon Types of Radionuclide Distributions in a Very Low-Level Radioactive Waste)

  • 정재학
    • 방사성폐기물학회지
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    • 제8권2호
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    • pp.123-133
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    • 2010
  • 방사성핵종의 분포유형에 관한 정보에 기초하여 극저준위폐기물의 자체처분 적합성을 통계학적으로 해석할 수 있는 방법론을 개발하였다. 방사성핵종의 분포에 관한 정보를 알 수 없는 경우에 대해서는 널리 알려진 마코프 부등식과 체비셰프 부등식을 적용하여 방사능농도의 산술평균과 허용되는 최대 표준편차의 상관관계식을 제시하였고, 방사성핵종의 농도가 정규분포 또는 로그정규분포를 갖는 경우에 대해서는 확률밀도함수, 누적확률밀도함수 등의 통계학적 관계식을 이용하여 방사능농도의 산술평균과 허용되는 최대 표준편차의 상관관계식을 새롭게 유도하였다. 또한, 자체처분기준 100 Bq/g 및 신뢰수준 95%인 조건에 대한 사례 적용연구를 통하여 방사능농도의 산술평균과 허용되는 표준편차의 범위를 방사성핵종의 분포유형에 따라 정량적으로 비교 제시하고, 자체처분 대상 폐기물의 방사성핵종 분포유형에 관한 정보가 확보될 경우 동일한 신뢰수준에서 자체처분이 허용될 수 있는 범위가 확장될 수 있음을 통계학적으로 입증하였다.

연령에 따른 교육수준과 만성질환의 관계 (Differential Effects of Educational Attainment on Chronic Diseases with Age)

  • 이민아
    • 한국인구학
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    • 제34권1호
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    • pp.179-198
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    • 2011
  • 본 논문의 목적은 연령과 교육수준이 한국인의 만성질환에 미치는 영향을 분석하는 데 있다. 이를 위해 한국노동연구원이 2006년에 수집한 '고령화연구패널조사(KLoSA: Korean Longitudinal Study of Ageing)'에 참여한 45세 이상의 한국인을 분석하였다. 분석결과는 먼저 연령과 만성질환이 비선형 관계를 갖고 있음을 보여준다. 연령이 증가함에 따라 응답자가 만성질환을 앓고 있을 확률도 증가하나 약 74세를 기준으로 다시 감소한다. 또한 이러한 연령과 만성질환의 관계는 교육수준에 따라 다르게 나타났다. 교육수준이 낮을수록 상대적으로 이른 나이에 만성질환이 발현하여 70대 초까지 상대적으로 만성질환에 노출될 확률이 높게 나타난다. 그러나 이러한 교육수준에 따른 건강격차는 수렴현상(convergence)을 보이다가 70대 초반 이후부터 역전되어 다시 분기(divergence)한다. 즉, 고령층에서는 오히려 교육수준이 높을수록 만성질환을 가질 확률이 높게 나타나는 것이다. 이러한 결과는 교육수준이 낮은 사람들이 만성질환에 상대적으로 더 젊은 나이에 노출되고 결국에는 이른 사망으로 이어질 수 있다는 점을 함의한다.

산업분류와 만성질환 유무와의 관계 (The Relationship between Industrial Classification and Chronic Disease)

  • 홍진혁;유기봉;김선호;김충우;노진원
    • 한국병원경영학회지
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    • 제21권4호
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    • pp.55-62
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    • 2016
  • Purposes: The industry has specialized and fragmented than in the past. As a factor of economic growth and industrialization, the number of people employed in primary industry decreased and the number of people employed in secondary and third industry continuously increased. In modern times, incidence of chronic disease is increasing according to industrial development. So, the purpose of this study was to analyze the chronic disease according to Clark's industrial classification. Methodology: Data were derived from the 2012 Korea Health Panel. The sample was made up of 7,132 adult participants aged 20 or over selected Korea Health Panel by probability sampling from Korea. Binary logistic regression analysis was conducted to examine the main factors associated with chronic disease. Findings: The significant factors associated with chronic disease were gender, age, marital status, household member, education level, insurance type, disability, BMI, and industrial classification. Female, elderly, divorced(including bereavement, missing and separation), one-person households, less than high school graduation, medical aid, disability, obese and primary industry were confirmed chronic disease increases. Practical Implications: The study finds that primary industry's prevalence of chronic disease was higher than secondary and third industry. Therefore, this study aims to management and effort of the worker who engaged in the primary industry. Policy development is required to address inequality or popularization of the differences in these factors by conducting a study to define the working conditions and socio-economic factors between industry.