• 제목/요약/키워드: log linear model

검색결과 229건 처리시간 0.03초

이동통신시장의 상호접속료 정책이 소득분위별 후생에 미치는 영향 연구 (A Study for the Effects of Interconnection Charge Policy on Consumer Welfare in the Mobile Telecommunications Market)

  • 박추환;한성수;정영근
    • 기술혁신학회지
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    • 제14권3호
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    • pp.622-646
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    • 2011
  • 본 논문은 이동통신시장에서 상호접속료가 소비자 후생에 미치는 영향을 실증분석을 통해 시사점을 도출하였다. 현재 상호접속료 정책은 사업자 전체를 규제하는 개별요율제와 함께 TD BUah형을 혼합한 장기증분원가 체계로 운영되고 있기 때문에 이와 같은 산정모형과 정책적 요인이 소비자후생에 미치는 영향을 분석하거 위하여 log선형함수를 이용한 소비자 후생의 측정과, 정책변수를 더미화 한 소비자 후생 결정 모형을 이용하여 분석하였다. 분석결과 소비자 후생은 2009년 기준으로 약 6조원으로 나타났으며, 최근 기준으로 상승세를 보이고 있었다. 상호접속료의 하락은 소비자 후생을 증진시키는 것으로 나타났지만, 개별요율제와 현재의 장기증분원가 체계는 소비자 후생과 부(-)의 관계를 가지는 것으로 나타나, 정책 프레임의 수정이 필요한 것으로 판단된다.

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Probabilistic seismic performance evaluation of non-seismic RC frame buildings

  • Maniyar, M.M.;Khare, R.K.;Dhakal, R.P.
    • Structural Engineering and Mechanics
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    • 제33권6호
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    • pp.725-745
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    • 2009
  • In this paper, probabilistic seismic performance assessment of a typical non-seismic RC frame building representative of a large inventory of existing buildings in developing countries is conducted. Nonlinear time-history analyses of the sample building are performed with 20 large-magnitude medium distance ground motions scaled to different levels of intensity represented by peak ground acceleration and 5% damped elastic spectral acceleration at the first mode period of the building. The hysteretic model used in the analyses accommodates stiffness degradation, ductility-based strength decay, hysteretic energy-based strength decay and pinching due to gap opening and closing. The maximum inter story drift ratios obtained from the time-history analyses are plotted against the ground motion intensities. A method is defined for obtaining the yielding and collapse capacity of the analyzed structure using these curves. The fragility curves for yielding and collapse damage levels are developed by statistically interpreting the results of the time-history analyses. Hazard-survival curves are generated by changing the horizontal axis of the fragility curves from ground motion intensities to their annual probability of exceedance using the log-log linear ground motion hazard model. The results express at a glance the probabilities of yielding and collapse against various levels of ground motion intensities.

비시장재화의 가치평가에 있어서 근접효과(Proximity Effects)의 검증에 관한 연구 : 조건부가치평가법을 중심으로 (Tackling Proximity Effects in Nonmarket Valuation Approaches : An Example of Contingent Valuation Method)

  • 전철현;신효중;주혜진
    • 자원ㆍ환경경제연구
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    • 제19권1호
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    • pp.101-127
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    • 2010
  • 자연자원인 갯벌에 비시장가치평가법 중의 하나인 조건부가치평가법을 적용하여 근접효과를 검증하고자 하였다. 전국의 가구 수에 비례하여 1,000가구를 임의추출하였다. 그리고 갯벌로부터의 거주거리에 따라 30분 간격으로 I 구역에서 V구역까지 구역을 나누어서 표본을 재구성하였다. 이러한 근접효과 분석에는 모형의 적합성과 변수의 통계적 유의성을 고려하여 로그선형모형(log-linear)을 적용하였다. 일반적으로는 로짓모형이 많이 사용되지만 소득효과를 제어할 수 없기 때문에, 소득효과를 제어할 수 있는 로그선형 모형을 이용하였다. 결과를 살펴보면, 각 구간별 지불의사액의 차이를 명확하게 보여주었으며(${\theta}_1$ >0. ${\theta}_2$ >0), 또한 모형에서 더미변수들이 통계적으로 5% 유의수준에서 유의하다는 결론($dum1{\neq}0$, $dum2{\neq}0$, $dum3{\neq}0$, $dum4{\neq}0$)을 얻을 수 있었다. 실제로 개방형 설문조사에서도 I 구역 거주자들의 지불의사액이 V구역 거주자들의 지불의사액보다 약 26% 이상 크게 나타났다. 따라서 이렇게 도출된 결과로부터 비시장재화의 특징을 지닌 자연자원에 대하여 비시장가치평가법을 적용하는 경우에는 근접효과가 존재하기 때문에 설문에 이를 충분히 반영(embedded)하여야 한다는 결론을 도출하였다. 이를 통해서 좀 더 명확한 지불의사액 추정이 가능하며, 편익이전시 과소평가되는 문제를 예방할 수 있다.

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이동통신 자료를 활용한 거시적 교통사고 예측 모형 개발 (Macro-Level Accident Prediction Model using Mobile Phone Data)

  • 곽호찬;송지영;이인묵;이준
    • 한국안전학회지
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    • 제33권4호
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    • pp.98-104
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    • 2018
  • Macroscopic accident analyses have been conducted to incorporate transportation safety into long-term transportation planning. In macro-level accident prediction model, exposure variable(e.g. a settled population) have been used as fundamental explanatory variable under the concept that each trip will be subjected to a probable risk of accident. However, a settled population may be embedded error by exclusion of active population concept. The objective of this research study is to develop macro-level accident prediction model using floating population variable(concept of including a settled population and active population) collected from mobile phone data. The concept of accident prediction models is introduced utilizing exposure variable as explanatory variable in a generalized linear regression with assumption of a negative binomial error structure. The goodness of fit of model using floating population variable is compared with that of the each models using population and the number of household variables. Also, log transformation models are additionally developed to improve the goodness of fit. The results show that the log transformation model using floating population variable is useful for capturing the relationships between accident and exposure variable and generally perform better than the models using other existing exposure variables. The developed model using floating population variable can be used to guide transportation safety policy decision makers to allocate resources more efficiently for the regions(or zones) with higher risk and improve urban transportation safety in transportation planning step.

Estimation and variable selection in censored regression model with smoothly clipped absolute deviation penalty

  • Shim, Jooyong;Bae, Jongsig;Seok, Kyungha
    • Journal of the Korean Data and Information Science Society
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    • 제27권6호
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    • pp.1653-1660
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    • 2016
  • Smoothly clipped absolute deviation (SCAD) penalty is known to satisfy the desirable properties for penalty functions like as unbiasedness, sparsity and continuity. In this paper, we deal with the regression function estimation and variable selection based on SCAD penalized censored regression model. We use the local linear approximation and the iteratively reweighted least squares algorithm to solve SCAD penalized log likelihood function. The proposed method provides an efficient method for variable selection and regression function estimation. The generalized cross validation function is presented for the model selection. Applications of the proposed method are illustrated through the simulated and a real example.

Quantum Chemical Studies of Some Sulphanilamide Schiff Bases Inhibitor Activity Using QSAR Methods

  • Baher, Elham;Darzi, Naser;Morsali, Ali;Beyramabadi, Safar Ali
    • 대한화학회지
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    • 제59권6호
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    • pp.483-487
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    • 2015
  • The different calculated quantum chemical descriptors by DFT method were used for prediction of some sulphanilamide Schiff bases inhibitor activity as a binding constant (log K). Multiple linear regression (MLR) and artificial neural network (ANN) were employed for developing the useful quantitative structure activity relationship (QSAR) model. The obtained results presented superiority of ANN model over the MLR one. The offering QSAR model is very easy to computation and Physico-Chemically interpretable. Sensitivity analysis was used to determine the relative importance of each descriptor in ANN model. The order of importance of each descriptor according to this analysis is: molecular volume, molecular weight and dipole moment, respectively. These descriptors appear good information related to different structure of sulphanilamide Schiff bases can participate in their inhibitor activity.

Optimized Chinese Pronunciation Prediction by Component-Based Statistical Machine Translation

  • Zhu, Shunle
    • Journal of Information Processing Systems
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    • 제17권1호
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    • pp.203-212
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    • 2021
  • To eliminate ambiguities in the existing methods to simplify Chinese pronunciation learning, we propose a model that can predict the pronunciation of Chinese characters automatically. The proposed model relies on a statistical machine translation (SMT) framework. In particular, we consider the components of Chinese characters as the basic unit and consider the pronunciation prediction as a machine translation procedure (the component sequence as a source sentence, the pronunciation, pinyin, as a target sentence). In addition to traditional features such as the bidirectional word translation and the n-gram language model, we also implement a component similarity feature to overcome some typos during practical use. We incorporate these features into a log-linear model. The experimental results show that our approach significantly outperforms other baseline models.

Necessity of step-stress accelerated life testing experiment at higher steps

  • Chandra, N.;Khan, Mashroor Ahmad;Pandey, M.
    • International Journal of Reliability and Applications
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    • 제15권2호
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    • pp.85-98
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    • 2014
  • Accelerated life testing (ALT) is a well famous technique in life testing and reliability studies, this is particularly used to induce so high stress leading to failure of the highly reliable units quickly under stipulated duration of time. The step-stress ALT is one of the systematic experimental strategy of ALT applied to fail the units in steps. In this article we focus on two important issues (i) necessity of life tests at higher steps with relevant causes (ii) to develop a new optimum test plan for 3-step SSALT under the modified cumulative exposure model proposed by Khamis and Higgins (1998). It is assumed that the lifetime of test units follows Rayleigh distribution and its scale parameter at constant stress level is assumed to be a log-linear function of the stress. The maximum likelihood estimates of the parameters involved in the step-stress ALT model are obtained. A simulation study is performed for numerical investigation of the proposed new optimum plan 3-step, step-stress ALT. The necessity of the life test units at 3-step step-stress is also numerically examined in comparison to simple step-stress setup.

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PIV 기법을 이용한 모형철도터널 직관덕트에서 유동 분포 계측 및 수치해석 결과와의 비교분석 (MEASUREMENT OF FLOW DISTRIBUTION IN A STRAIGHT DUCT OF RAILWAY TUNNEL MOCK-UP USING PIV AND COMPARISON WITH NUMERICAL SIMULATION)

  • 장용준;정우성;박일순
    • 한국전산유체공학회지
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    • 제15권3호
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    • pp.39-45
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    • 2010
  • The turbulent flows in a tunnel mock-up($10L{\times}0.5W{\times}0.25H$ m3 : scale reduction 1/20) with rectangular cross section were investigated. The instantaneous velocity fields of Re = 49,029, 89,571 were measured by the 2-D PIV system which is consisted of double pulsed Nd:Yag laser and the tracer particles in the straight-duct mock-up where the flows were fully developed. The mean velocity profiles were taken from the ensemble averages of 1,000 instantaneous velocity fields. Simultaneously, numerical simulations(RANS) were performed to compare with experimental data using STREAM code. Non-linear eddy viscosity model (NLEVM : Abe-Jang-Leschziner Eddy Viscosity Model) was employed to resolve the turbulent flows in the duct. The calculated mean velocity profiles were well compared with PIV results. In the log-law profiles, the experimental data were in good agreement with numerical simulations all the way to the wake region except the viscous sub-layer (near wall region).

Optimal step stress accelerated life tests for the exponential distribution under periodic inspection and type I censoring

  • Moon, Gyoung-Ae;Park, Yong-Kil
    • Journal of the Korean Data and Information Science Society
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    • 제20권6호
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    • pp.1169-1175
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    • 2009
  • In this paper, the inferences of data obtained from periodic inspection and type I censoring for the step-stress accelerated life test are studied. The exponential distribution with a failure rate function that a log-linear function of stress and the tampered failure rate model are considered. The maximum likelihood estimators of the model parameters are estimated and also the optimal stress change time which minimize the asymptotic variance of maximum likelihood estimators of parameters is determined. A numerical example will be given to illustrate the proposed inferential procedures and the sensitivity of the asymptotic variance of the estimated mean by the guessed parameters is investigated.

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