• 제목/요약/키워드: two-sample problem

검색결과 330건 처리시간 0.033초

OPTIMAL DESIGN MODEL FOR A DISTRIBUTED HIERARCHICAL NETWORK WITH FIXED-CHARGED FACILITIES

  • Yoon, Moon-Gil;Baek, Young-Ho;Tcha, Dong-Wan
    • Management Science and Financial Engineering
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    • 제6권2호
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    • pp.29-45
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    • 2000
  • We consider the design of a two-level telecommunication network having logical full-mesh/star topology, with the implementation of conduit systems taken together. The design problem is then viewed as consisting of three subproblems: locating hub facilities, placing a conduit network, and installing cables therein to configure the logical full-mesh/star network. Without partitioning into subproblems as done in the conventional approach, the whole problem is directly dealt with in a single integrated framework, inspired by some recent successes with the approach. We successfully formulate the problem as a variant of the classical multicommodity flow model for the fixed charge network design problem, aided by network augmentation, judicious commodity definition, and some flow restrictions. With our optimal model, we solve some randomly generated sample problems by using CPLEX MIP program. From the computational experiments, it seems that our model can be applied to the practical problem effectively.

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Noninformative Priors for Fieller-Creasy Problem using Unbalanced Data

  • Kim, Dal-Ho;Lee, Woo-Dong;Kang, Sang-Gil
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2005년도 추계학술대회
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    • pp.71-84
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    • 2005
  • The Fieller-Creasy problem involves statistical inference about the ratio of two independent normal means. It is difficult problem from either a frequentist or a likelihood perspective. As an alternatives, a Bayesian analysis with noninformative priors may provide a solution to this problem. In this paper, we extend the results of Yin and Ghosh (2001) to unbalanced sample case. We find various noninformative priors such as first and second order matching priors, reference and Jeffreys' priors. The posterior propriety under the proposed noninformative priors will be given. Using real data, we provide illustrative examples. Through simulation study, we compute the frequentist coverage probabilities for probability matching and reference priors. Some simulation results will be given.

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대학생 알코올의존의 요인 (Alcohol Dependency of College Students)

  • 이원재
    • 보건교육건강증진학회지
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    • 제21권3호
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    • pp.67-86
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    • 2004
  • This study attempted to investigate the factors influencing alcohol drinking habit of college students in Korea. To find how many students are alcohol dependents and what factors are related to problem drinking habit, the current study estimated problem drinkers and analyzed the relationship of problem drinking and various factors. In 2000, 736 students reported the questionnaires. Estimated rates of problem drinkers standardized by age were 0.7% of male and 0.5% of female students by NAST, amounting 9,300 college students. Age of initiation of alcohol drinking, alcohol or drug use problems of parents or mends, psychological factors, emotional factors, and two of MMPI scales were significantly different between moderate drinkers and alcohol dependents. The moderate and problem drinkers were significantly different in Mf and Pa average scores. However, economic factors were not significantly different between the moderate drinkers and alcohol dependents. Based on the results, this study suggested that further multivariate studies with large sample need be conducted to investigate the relationship between alcohol dependency and its factors.

통합 제조 시스템 설계 : 공정 계획과 AGV 경로 설계의 통합 접근 (Integrated Manufacturing Systems Design : Integrated Approach to Process Plan Selection and AGV Guidepath Design)

  • 서윤호
    • 대한산업공학회지
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    • 제20권3호
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    • pp.151-166
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    • 1994
  • The manufacturing environment on which this research is focused is an FMS in which AGVs are used for material handling and each part type has one or more process plans. The research aims at developing a methodology whereby, given a part and volume mix for production during any production session, the best set of process plans including one plan per part type is selected and the best unidirectional AGV guidepath can be dynamically reconfigured in response to changes in parts and lot sizes combination. For the integrated PPS/FGD problem in which two functions of process plan selection (PPS) and flexible AGV guidepath design (FGD) are integrated, a zero-one integer programming model is developed. The integrated problem is decomposed into two subproblems, process plan selection given a directed AGV layout and AGV guidepath design with a fixed process plan per part type. A heuristic algorithm that alternately and iteratively solves these two subproblems is developed. The effectiveness of the heuristic algorithm is tested by solving various randomly generated sample problems and comparing the heuristic solutions with those obtained by an exact procedure. From the test results, the following conclusions are drawn: 1) For a reasonable size problem, the heuristic is very effective. 2) By integrating the two functions of PPS and FGD, a remarkable benefit in total production time for a given part and volume mix is gained.

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음성장애와 샘플유형에 따른 GRBAS 측정치 및 shimmer 비교 (Differences in GRBAS scales and shimmer according to vocal sample types in people with vocal disorders)

  • 신유정;홍기환;심현섭
    • 말소리와 음성과학
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    • 제3권3호
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    • pp.149-155
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    • 2011
  • The purpose of the present study was to identify the differences in GRBAS scales between vocal sample types (sustained vowels and connected speech) for specific laryngeal conditions (vocal nodules, vocal polyps and vocal paralysis) and the relations between GRBAS scale and Shimmer value in each vocal sample type. In this study, the total of 60 voice samples of 30 patients (10 vocal nodules, 10 vocal polyps, 10 vocal paralysis) were examined and MDVP (Multi-dimensional Voice Program) was used to analyze Shimmer value. Three listeners rated two types of samples which were sorted randomly based on GRBAS scale. Three-way ANOVA, one-way ANOVA and paired t-test were used. The outcome of this study was as follow. 1) GRBAS scales varied in vocal sample types. Listeners tended to assess voices as better quality when they listened connected speech rather than sustained vowels. 2) G score of GRBAS and Shimmer were positively correlated with statistical significance. This results show that 1) vocal specialists should consider the sample types in evaluating the severity of voice problem and 2) G score could be a simple and clear method.

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극소 비율의 비교에 대한 표본수 결정 (Sample Size Determination for Comparing Tail Probabilities)

  • 이지안;송혜향
    • 응용통계연구
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    • 제20권1호
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    • pp.183-194
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    • 2007
  • 이 논문에서는 두 독립인 이항 확률의 비교에서 이항 확률 중 하나 또는 모두가 0.05보다 작을 경우의 두 확률의 비교에 대한 표본수 계산의 문제를 다루었다. Whitte-more(1981)는 여러 공변량에 근거한 로지스틱 회귀를 이용하여 극소 확률의 경우에 대한 수정 표본수 공식을 제안하였다. 이를 독립된 비율의 비교에 적용하여 이로부터 계산한 표본수는 일반적으로 많이 사용하는 근사 정규 방법, 특히 극소 비율의 비교에 대한 방법이 아닌 근사 정규 방법의 표본수 보다도 훨씬 큰 표본수를 제시하고 있다. 그러므로, 응용분야의 통계인들은 극소 반응 확률에 근거한 임상 시험을 계획할 경우 계획의 단계에서 의도하는 검정력을 확보하기 위해 교과서에 제시된 표본수 공식이나 부표에 의존한다면 위험할 수 있음을 이 논문의 결과가 말해 주고 있다.

Some versatile tests based on percentile tests

  • Park, Hyo-Il;Kim, Ju-Sung
    • Journal of the Korean Data and Information Science Society
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    • 제21권2호
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    • pp.291-296
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    • 2010
  • In this paper, we consider a versatile test based on percentile tests. The versatile test may be useful when the underlying distributions are unknown or quite different types. We consider two kinds of combining functions for the percentile statistics, the quadratic and summing forms and obtain the limiting distributions under the null hypothesis. Then we illustrate our procedure with an example. Finally we discuss some interesting features of the test as concluding remarks.

Multivariate Nonparametric Tests for Grouped and Right Censored Data

  • Park Hyo-Il;Na Jong-Hwa;Hong Seungman
    • International Journal of Reliability and Applications
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    • 제6권1호
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    • pp.53-64
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    • 2005
  • In this paper, we propose a nonparametric test procedure for the multivariate, grouped and right censored data for two sample problem. For the construction of the test statistic, we use the linear rank statistics for each component and apply the permutation principle for obtaining the null distribution. For the large sample case, the asymptotic distribution is derived under the null hypothesis with the additional assumption that two censoring distributions are also equal. Finally, we illustrate our procedure with an example and discuss some concluding remarks. In appendices, we derive the expression of the covariance matrix and prove the asymptotic distribution.

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Choosing between the Exact and the Approximate Confidence Intervals: For the Difference of Two Independent Binomial Proportions

  • Lee, Seung-Chun
    • Communications for Statistical Applications and Methods
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    • 제16권2호
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    • pp.363-372
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    • 2009
  • The difference of two independent binomial proportions is frequently of interest in biomedical research. The interval estimation may be an important tool for the inferential problem. Many confidence intervals have been proposed. They can be classified into the class of exact confidence intervals or the class of approximate confidence intervals. Ore may prefer exact confidence interval s in that they guarantee the minimum coverage probability greater than the nominal confidence level. However, someone, for example Agresti and Coull (1998) claims that "approximation is better than exact." It seems that when sample size is large, the approximate interval is more preferable to the exact interval. However, the choice is not clear when sample, size is small. In this note, an exact confidence and an approximate confidence interval, which were recommended by Santner et al. (2007) and Lee (2006b), respectively, are compared in terms of the coverage probability and the expected length.

Large-Scale Phase Retrieval via Stochastic Reweighted Amplitude Flow

  • Xiao, Zhuolei;Zhang, Yerong;Yang, Jie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권11호
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    • pp.4355-4371
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    • 2020
  • Phase retrieval, recovering a signal from phaseless measurements, is generally considered to be an NP-hard problem. This paper adopts an amplitude-based nonconvex optimization cost function to develop a new stochastic gradient algorithm, named stochastic reweighted phase retrieval (SRPR). SRPR is a stochastic gradient iteration algorithm, which runs in two stages: First, we use a truncated sample stochastic variance reduction algorithm to initialize the objective function. The second stage is the gradient refinement stage, which uses continuous updating of the amplitude-based stochastic weighted gradient algorithm to improve the initial estimate. Because of the stochastic method, each iteration of the two stages of SRPR involves only one equation. Therefore, SRPR is simple, scalable, and fast. Compared with the state-of-the-art phase retrieval algorithm, simulation results show that SRPR has a faster convergence speed and fewer magnitude-only measurements required to reconstruct the signal, under the real- or complex- cases.