• 제목/요약/키워드: Probability Score

검색결과 295건 처리시간 0.028초

Nonparametric Selection Procedures and Their Efficiency Comparisons

  • Sohn, Joong-K.;Shanti S.Gupta;Kim, Heon-Joo
    • Communications for Statistical Applications and Methods
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    • 제1권1호
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    • pp.41-51
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    • 1994
  • We consider nonparametric procedures for the selection and ranking problems. Tukey's generalized lambda distribution is condidered as the distribution for the score function because the distribution can approximate many well-known contionuous distributions. Also we compare these procedures in terms of efficiency, defined by the ratio of a probability of a correct selection divided by the expected selected subset size.

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대용량 음성인식을 위한 인식기간 감축 알고리즘 (A Recognition Time Reduction Algorithm for Large-Vocabulary Speech Recognition)

  • 구준모;은종관
    • 한국음향학회지
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    • 제10권3호
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    • pp.31-36
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    • 1991
  • 본 논문에서는 대용량 음성인식 시스템의 인식시간을 감축하기 위하여 후보단어를 선정하는 효과적인 방법을 제안하고 이 방법의 성능을 향상시키기 위하여 spectral smoothing과 temporal smoothing을 사용하는 것에 관하여 연구하였다. 제안된 방법은 사전내의 각 단어에 대하여 음성인식 단위의 음성 spectrum관찰확률과 길이정보를 이용하여 대강의 관찰확률을 계산하여 후보단어를 선정한다. 제안된 방법을 음소단위의 HMM을 이용하는 1160단어 인식 시스템에 적용한 결과, 전체 계산량의 74% 가량을 감축할 수 있었으며 이때 인식율의 감소는 매우 작았다. 또한 제안된 대감의 likelihood점수 계산방법은 Viterbi방법에 의하여 계산되는 likelihood 점수를 잘 추정함을 알 수 있었다.

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가치스코어 모형을 이용한 기상정보의 기업 의사결정에 미치는 영향 평가 (The Effect of Meteorological Information on Business Decision-Making with a Value Score Model)

  • 이기광;이중우
    • 산업경영시스템학회지
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    • 제30권2호
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    • pp.89-98
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    • 2007
  • In this paper the economic value of weather forecasts is valuated for profit-oriented enterprise decision-making situations. Value is estimated in terms of monetary profits (or benefits) resulted from the forecast user's decision under the specific payoff structure, which is represented by a profit/loss ratio model combined with a decision function and a value score (VS). The forecast user determines a business-related decision based on the probabilistic forecast, the user's subjective reliability of the forecasts, and the payoff structure specific to the user's business environment. The VS curve for a meteorological forecast is specified by a function of the various profit/loss ratios, providing the scaled economic value relative to the value of a perfect forecast. The proposed valuation method based on the profit/loss ratio model and the VS is adapted for hypothetical sets of forecasts and verified for site-specific probability of precipitation forecast of 12 hour and 24 hour-lead time, which is generated from Korea meteorological administration (KMA). The application results show that forecast information with shorter lead time can provide the decision-makers with great benefits and there are ranges of profit/loss ratios in which high subjective reliability of the given forecast is preferred.

재직자 직업훈련이 취업 및 이직에 미치는 영향 (The Effect of On-the-Job Training on Employment Status and Employee Retention)

  • 양용현;최광성;최충
    • 노동경제논집
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    • 제42권3호
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    • pp.75-98
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    • 2019
  • 본 연구는 고용보험자료를 이용하여 재직자의 직업훈련 참여가 노동시장성과에 미치는 영향을 분석하고자 하였다. 재직자 직업훈련은 근로자 개인의 계속근로 여부와 이직 여부에 영향을 미칠 수 있는바, 이에 대한 훈련효과를 추정하기 위해 성향점수매칭법(Propensity score matching method)을 이용하였다. 분석결과, 재직자 직업훈련 참여자는 미참여자에 비해 다음 연도에 노동시장에 남아 계속근로를 제공할 확률이 연도별로 2.4~5.3%p 더 높은 것으로 나타났다. 한편 계속근로자를 대상으로 재직자 직업훈련의 이직효과에 대해 분석한 결과, 재직자 직업훈련 참여자는 참여하지 않은 근로자보다 이직확률이 2008~2015년에 연도별로 0.9~4.2%p 낮은 것으로 나타났으며, 2016년에는 통계적으로 유의하지 않은 것으로 분석되었다.

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류마티스관절염 환자의 심혈관 질환 및 당뇨병 위험분석: a propensity score analysis (The Risk of Cardiovascular Disease and Diabetes in Rheumatoid Arthritis Patients: A Propensity Score Analysis)

  • 유기연
    • 한국임상약학회지
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    • 제29권2호
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    • pp.109-114
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    • 2019
  • Background: Rheumatoid arthritis (RA) is a systemic inflammatory disease that manifests as joint damage or athletic disability via sustained inflammation of the synovial membrane. The risk of cardiovascular disease (CVD) is higher in RA patients. This study aimed at evaluating the association between CVD comorbidities and RA by comparing a pharmacotherapy group with a non-pharmacotherapy group. Methods: Patient sample data from the Health Insurance Review and Assessment Service (HIRA-NPS-2016) were used. Inverse probability of treatment weighting (IPTW) using the propensity score was used to minimize the differences in patient characteristics. Logistic regression analysis was used to evaluate the risk of CVD comorbidities. Results: The analyses included 1,207,213 patients, of which 33,122 (2.8%) had RA. The odds ratios (OR) of CVD comorbidities were increased in RA patients; ischemic heart disease (IHD: OR 1.75; 95% CI 1.73, 1.77), cerebral infarction (CERI: OR 1.28; 95% CI 1.26, 1.30), hypertension (HTN: OR 1.44; 95% CI 1.43, 1.45), diabetes mellitus (DM: OR 2.04; 95% CI 2.03, 2.06), and dyslipidemia (DL: OR 3.49; 95% CI 3.47, 3.51). The ORs of IHD, CERI, HTN, and DM in the traditional DMARD and biologic treatment groups were decreased, compared with those in the non-pharmacotherapy group. Conclusions: Thus, CVD risk was higher in RA patients, considering age, sex, and socioeconomic status. Appropriate pharmacotherapy could decrease the risk of CVD comorbidities in RA patients.

Estimation and Prediction of Financial Distress: Non-Financial Firms in Bursa Malaysia

  • HIONG, Hii King;JALIL, Muhammad Farhan;SENG, Andrew Tiong Hock
    • The Journal of Asian Finance, Economics and Business
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    • 제8권8호
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    • pp.1-12
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    • 2021
  • Altman's Z-score is used to measure a company's financial health and to predict the probability that a company will collapse within 2 years. It is proven to be very accurate to forecast bankruptcy in a wide variety of contexts and markets. The goal of this study is to use Altman's Z-score model to forecast insolvency in non-financial publicly traded enterprises. Non-financial firms are a significant industry in Malaysia, and current trends of consolidation and long-term government subsidies make assessing the financial health of such businesses critical not just for the owners, but also for other stakeholders. The sample of this study includes 84 listed companies in the Kuala Lumpur Stock Exchange. Of the 84 companies, 52 are considered high risk, and 32 are considered low-risk companies. Secondary data for the analysis was gathered from chosen companies' financial reports. The findings of this study show that the Altman model may be used to forecast a company's financial collapse. It dispelled any reservations about the model's legitimacy and the utility of applying it to predict the likelihood of bankruptcy in a company. The findings of this study have significant consequences for investors, creditors, and corporate management. Portfolio managers may make better selections by not investing in companies that have proved to be in danger of failing if they understand the variables that contribute to corporate distress.

직업훈련이 외국인력의 고용과 임금에 미치는 영향 (The Effects of Job Training Programs on the Employment and Wages of Immigrants in Korea)

  • 김혜진;이철희
    • 경제분석
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    • 제27권2호
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    • pp.41-70
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    • 2021
  • 본 연구에서는 2017년과 2019년 이민자 체류실태 및 고용조사 자료를 이용하여 직업훈련 프로그램이 외국인의 노동시장 성과에 미치는 영향을 분석하였다. 성향점수매칭(propensity score matching)을 적용한 분석 결과를 살펴보면, 직업훈련은 평균적으로 외국인들의 고용률을 6.4%p 높였으며 월평균임금을 상승시키는 효과도 있었다. 또한, 체류자격에 따라 상이한 효과가 나타났는데 먼저 취업비자로 들어온 외국인은 훈련참여의 결과로 고용률이 크게 높아지지 않았지만 임금 상승효과는 상당히 컸다. 반면, 결혼이민자의 경우 임금에 대한 긍정적 효과가 관찰되지 않았다. 정주비자 소지자는 훈련을 통해 고용률과 임금이 모두 증가하였다.

베이지안 확률 및 폐쇄 순차패턴 마이닝 방식을 이용한 설명가능한 로그 이상탐지 시스템 (An Interpretable Log Anomaly System Using Bayesian Probability and Closed Sequence Pattern Mining)

  • 윤지영;신건윤;김동욱;김상수;한명묵
    • 인터넷정보학회논문지
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    • 제22권2호
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    • pp.77-87
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    • 2021
  • 인터넷과 개인용 컴퓨터가 발달하면서 다양하고 복잡한 공격들이 등장하기 시작했다. 공격들이 복잡해짐에 따라 기존에 사용하던 시그니처 기반의 탐지 방식으로 탐지가 어려워졌으며 이를 해결하기 위해 행위기반의 탐지를 위한 로그 이상탐지에 대한 연구가 주목 받기 시작했다. 최근 로그 이상탐지에 대한 연구는 딥러닝을 활용해 순서를 학습하는 방식으로 이루어지고 있으며 좋은 성능을 보여준다. 하지만 좋은 성능에도 불구하고 판단에 대한 근거를 제공하지 못한다는 한계점을 지닌다. 판단에 대한 근거 및 설명을 제공하지 못할 경우, 데이터가 오염되거나 모델 자체에 결함이 발생해도 이를 발견하기 어렵다는 문제점을 지닌다. 결론적으로 사용자의 신뢰성을 잃게 된다. 이를 해결하기 위해 본 연구에서는 설명가능한 로그 이상탐지 시스템을 제안한다. 본 연구는 가장 먼저 로그 파싱을 진행해 로그 전처리를 수행한다. 이후 전처리된 로그들을 이용해 베이지안 확률 기반 순차 규칙추출을 진행한다. 결과적으로 "If 조건 then 결과, 사후확률(θ)" 형식의 규칙집합을 추출하며 이와 매칭될 경우 정상, 매칭되지 않을 경우, 이상행위로 판단하게 된다. 실험으로는 HDFS 로그 데이터셋을 활용했으며, 그 결과 F1score 92.7%의 성능을 나타내었다.

ICD-10을 이용한 ICISS의 타당도 평가 (Validation of the International Classification of Diseases 10th Edition Based Injury Severity Score(ICISS))

  • 정구영;김창엽;김용익;신영수;김윤
    • Journal of Preventive Medicine and Public Health
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    • 제32권4호
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    • pp.538-545
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    • 1999
  • Objective : To compare the predictive power of International Classification of Diseases 10th Edition(ICD-10) based International Classification of Diseases based Injury Severity Score(ICISS) with Trauma and Injury Severity Score(TRISS) and International Classification of Diseases 9th Edition Clinical Modification(ICD-9CM) based ICISS in the injury severity measure. Methods : ICD-10 version of Survival Risk Ratios(SRRs) was derived from 47,750 trauma patients from 35 Emergency Centers for 1 year. The predictive power of TRISS, the ICD-9CM based ICISS and ICD-10 based ICISS were compared in a group of 367 severely injured patients admitted to two university hospitals. The predictive power was compared by using the measures of discrimination(disparity, sensitivity, specificity, misclassification rates, and ROC curve analysis) and calibration(Hosmer-Lemeshow goodness-of-fit statistics), all calculated by logistic regression procedure. Results : ICD-10 based ICISS showed a lower performance than TRISS and ICD-9CM based ICISS. When age and Revised Trauma Score(RTS) were incorporated into the survival probability model, however, ICD-10 based ICISS full model showed a similar predictive power compared with TRISS and ICD-9CM based ICISS full model. ICD-10 based ICISS had some disadvantages in predicting outcomes among patients with intracranial injuries. However, such weakness was largely compensated by incorporating age and RTS in the model. Conclusions : The ICISS methodology can be extended to ICD-10 horizon as a standard injury severity measure in the place of TRISS, especially when age and RTS were incorporated in the model. In patients with intracranial injuries, the predictive power of ICD-10 based ICISS was relatively low because of differences in the classifying system between ICD-10 and ICD-9CM.

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Association between body mass index and hepatitis B antibody seropositivity in children

  • Kwon, Yoowon;Jeong, Su Jin
    • Clinical and Experimental Pediatrics
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    • 제62권11호
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    • pp.416-421
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    • 2019
  • Background: The seropositivity rate of hepatitis B surface antigen (anti-HBs) antibodies is known to be ≥95% after hepatitis B virus vaccination during infancy. However, a low level or absence of anti-HBs in healthy children is discovered in many cases. Recent studies in adults reported that a reduced anti-HBs production rate is related to obesity. Purpose: To investigate whether body mass index (BMI) affects anti-HBs levels in healthy children following 3 serial dose vaccinations in infancy. Methods: We recruited 1,200 healthy volunteers aged 3, 5, 7, or 10 years from 4-day care centers and 4 elementary schools. All subjects completed a questionnaire including body weight, height, and vaccine type received. Levels of serum hepatitis B surface antigen (HBsAg) and anti-HBs in all subjects were analyzed using electrochemiluminescence immunoassay. The standardized scores (z score) for each sex and age were obtained using the lambda-mu-sigma method in the 2017 Korean National Growth Charts for children and adolescents. Results: Our subjects (n=1,200) comprised 750 males (62.5%) and 450 females (37.5%). The overall anti-HBs seropositivity rate was 57.9% (695 of 1,200). We identified significant differences in mean BMI values between seronegative and seropositive groups (17.45 vs. 16.62, respectively; P<0.001). The anti-HBs titer was significantly decreased as the BMI z score increased adjusting for age and sex (B=-15.725; standard error=5.494; P=0.004). The probability of anti-HBs seropositivity based on BMI z score was decreased to an OR of 0.820 after the control for confounding variables (95% confidence interval, 0.728-0.923; P=0.001). Conclusion: There was a significant association between anti-HBs titer and BMI z score after adjustment for age and sex. Our results indicate that BMI is a potential factor affecting anti-HBs titer in healthy children.