• Title/Summary/Keyword: likelihood ratio

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Experimental validation of a nuclear forensics methodology for source reactor-type discrimination of chemically separated plutonium

  • Osborn, Jeremy M.;Glennon, Kevin J.;Kitcher, Evans D.;Burns, Jonathan D.;Folden, Charles M. III;Chirayath, Sunil S.
    • Nuclear Engineering and Technology
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    • v.51 no.2
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    • pp.384-393
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    • 2019
  • An experimental validation of a nuclear forensics methodology for the source reactor-type discrimination of separated weapons-useable plutonium is presented. The methodology uses measured values of intra-element isotope ratios of plutonium and fission product contaminants. MCNP radiation transport codes were used for various reactor core modeling and fuel burnup simulations. A reactor-dependent library of intra-element isotope ratio values as a function of burnup and time since irradiation was created from the simulation results. The experimental validation of the methodology was achieved by performing two low-burnup experimental irradiations, resulting in distinct fuel samples containing sub-milligram quantities of weapons-useable plutonium. The irradiated samples were subjected to gamma and mass spectrometry to measure several intra-element isotope ratios. For each reactor in the library, a maximum likelihood calculation was utilized to compare the measured and simulated intra-element isotope ratio values, producing a likelihood value which is proportional to the probability of observing the measured ratio values, given a particular reactor in the library. The measured intra-element isotope ratio values of both irradiated samples and its comparison with the simulation predictions using maximum likelihood analyses are presented. The analyses validate the nuclear forensics methodology developed.

A statistical reference-free damage identification for real-time monitoring of truss bridges using wavelet-based log likelihood ratios

  • Lee, Soon Gie;Yun, Gun Jin
    • Smart Structures and Systems
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    • v.12 no.2
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    • pp.181-207
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    • 2013
  • In this paper, a statistical reference-free real-time damage detection methodology is proposed for detecting joint and member damage of truss bridge structures. For the statistical damage sensitive index (DSI), wavelet packet decomposition (WPD) in conjunction with the log likelihood ratio was suggested. A sensitivity test for selecting a wavelet packet that is most sensitive to damage level was conducted and determination of the level of decomposition was also described. Advantages of the proposed method for applications to real-time health monitoring systems were demonstrated by using the log likelihood ratios instead of likelihood ratios. A laboratory truss bridge structure instrumented with accelerometers and a shaker was used for experimental verification tests of the proposed methodology. The statistical reference-free real-time damage detection algorithm was successfully implemented and verified by detecting three damage types frequently observed in truss bridge structures - such as loss of bolts, loosening of bolts at multiple locations, sectional loss of members - without reference signals from pristine structure. The DSI based on WPD and the log likelihood ratio showed consistent and reliable results under different damage scenarios.

Determination of the Optimal Cutoff Point using Adjusted Stratum-Specific Likelihood Ratios when Disease Verification is subject to Verification Bias (선택편향이 존재할 때, 수정 층화우도비를 이용한 최적절사점의 결정)

  • Kim, Hu-Nam;Park, Yong-Gyu
    • The Korean Journal of Applied Statistics
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    • v.20 no.3
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    • pp.515-530
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    • 2007
  • Stratum-specific likelihood ratio, which is ratio of the sensitivity to 1-the specificity in each stratum of the test, could be biased if the sensitivity and specificity of diagnostic test are affected by verification bias. Therefore, the optimal cutoff point determined by biased stratum-specific likelihood ratios is incorrect. In this study, we derived adjusted stratum-specific likelihood ratios using the adjusted sensitivity and specificity, and obtained the adjusted optimal cutoff point. The influence of the verification bias on the optimal cutoff point was described through the relation between adjusted and unadjusted stratum-specific likelihood ratios.

A Study on Utterance Verification Using Accumulation of Negative Log-likelihood Ratio (음의 유사도 비율 누적 방법을 이용한 발화검증 연구)

  • 한명희;이호준;김순협
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.3
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    • pp.194-201
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    • 2003
  • In speech recognition, confidence measuring is to decide whether it can be accepted as the recognized results or not. The confidence is measured by integrating frames into phone and word level. In case of word recognition, the confidence measuring verifies the results of recognition and Out-Of-Vocabulary (OOV). Therefore, the post-processing could improve the performance of recognizer without accepting it as a recognition error. In this paper, we measure the confidence modifying log likelihood ratio (LLR) which was the previous confidence measuring. It accumulates only those which the log likelihood ratio is negative when integrating the confidence to phone level from frame level. When comparing the verification performance for the results of word recognizer with the previous method, the FAR (False Acceptance Ratio) is decreased about 3.49% for the OOV and 15.25% for the recognition error when CAR (Correct Acceptance Ratio) is about 90%.

Influence Analysis of the Liklihood Ratio Test in Multivariate Behrens-Fisher Problem

  • Jung, Kang-Mo;Kim, Myung-Geun
    • Communications for Statistical Applications and Methods
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    • v.6 no.3
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    • pp.939-946
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    • 1999
  • We propose methods for detecting influential observations that have a large influence on the likelihood ratio test statistic for the multivariate Behrens-Fisher problem. For this purpose we derive the influence curve and the derivative influence of the likelihood ratio test statistic. An illustrative example is given to show the effectiveness of the proposed methods on the identification of influential observations.

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Likelihood Ratio Test for the Epidemic Alternatives on the Zero-Inflated Poisson Model (변화시점이 있는 영과잉-포아송모형에서 돌출대립가설에 대한 우도비검정)

  • Kim, Kyung-Moo
    • Journal of the Korean Data and Information Science Society
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    • v.9 no.2
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    • pp.247-253
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    • 1998
  • In ease of the epidemic Zero-Inflated Poisson model, likelihood ratio test was used for testing epidemic alternatives. Epidemic changepoints were estimated by the method of least squares. It were used for starting points to estimate the maximum likelihood estimators. And several parameters were compared through the Monte Carlo simulations. As a result, maximum likelihood estimators for the epidemic chaagepoints and several parameters are better than the least squares and moment estimators.

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An Analysis of the Factors Related to the Degree of the Role Conflict and the Likelihood of Exits of the Labor Force of Working Wives (취업주부의 역할갈등과 취업중단의사 관련 변수에 대한 연구)

  • 정순희
    • Journal of the Korean Home Economics Association
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    • v.39 no.3
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    • pp.35-45
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    • 2001
  • The purposes of this study are to identify the factors associated with the degree of role conflict and the likelihood of exits of the labor force of working wives and to investigate the relationship between the role conflict and job quitting behavior of working wives. The major results of this study are as follows. First, the ratio of reservation wage relative to wife's earnings, wife's earnings, husband's behavioral support, the presence of child under age of 6, the type of occupation, and job satisfaction are associated with the role conflict of working wives. Second, there is a significant difference in the job quitting behavior of working wives according to the degree of role conflict of working wives. Third, the level of role conflict, educational level, the ratio of resonation wage relative to wife's earnings, husband's behavioral support, the presence of child under age of 6, the type of occupation, and job satisfaction are associated with the likelihood of job quitting of working wives.

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Likelihood Function of Order Statistic with a Weibull Distribution (와이벌분포를 갖는 순위설계량의 우도함수)

  • Seo Nam-Su
    • Journal of the military operations research society of Korea
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    • v.9 no.2
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    • pp.39-43
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    • 1983
  • In this paper, we derive the likelihood function for the independent random order statistic whose underlying lifetime distribution is a two parameter Weibull form. For this purpose we first discuss the order statistic which represent a characteristic feature of most life and fatigue tests that they give rise to ordered observations. And, we describe the properties of the underlying Weibull model. The derived likelihood function is essential for establishing the statistical life test plans in the case of Weibull distribution using a likelihood ratio method.

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Voice Activity Detection based on Adaptive Band-Partitioning using the Likelihood Ratio (우도비를 이용한 적응 밴드 분할 기반의 음성 검출기)

  • Kim, Sang-Kyun;Shim, Hyeon-Min;Lee, Sangmin
    • Journal of Korea Multimedia Society
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    • v.17 no.9
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    • pp.1064-1069
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    • 2014
  • In this paper, we propose a novel approach to improve the performance of a voice activity detection(VAD) which is based on the adaptive band-partitioning with the likelihood ratio(LR). The previous method based on the adaptive band-partitioning use the weights that are derived from the variance of the spectral. In our VAD algorithm, the weights are derived from LR, and then the weights are incorporated with the entropy. The proposed algorithm discriminates the voice activity by comparing the weighted entropy with the adaptive threshold. Experimental results show that the proposed algorithm yields better results compared to the conventional VAD algorithms. Especially, the proposed algorithm shows superior improvement in non-stationary noise environments.

Statistical methods for Edge Detection in Images (영상에서 에지 검출을 위한 통계적 방법)

  • 임동훈;박은희
    • The Korean Journal of Applied Statistics
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    • v.13 no.2
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    • pp.515-523
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    • 2000
  • In this paper we detect edges using stutistical methods of the change-point problem. For this, we perform the hypothesis testing for differences in gray levels to see whether any $n\timesn$ subimage contains edge segments. The proposed method based on the twosample Kolmogorov-Smirnov test is introduced and the likelihood ratio test and the \VolfeSchechtman test for change-point problem arc also applied for edge detection. \Ve perform the experimental study to assess the performance of these methods in both noisy and uncontaminated sample noises.

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