• 제목/요약/키워드: error criterion

검색결과 529건 처리시간 0.03초

Optimal designs for small Poisson regression experiments using second-order asymptotic

  • Mansour, S. Mehr;Niaparast, M.
    • Communications for Statistical Applications and Methods
    • /
    • 제26권6호
    • /
    • pp.527-538
    • /
    • 2019
  • This paper considers the issue of obtaining the optimal design in Poisson regression model when the sample size is small. Poisson regression model is widely used for the analysis of count data. Asymptotic theory provides the basis for making inference on the parameters in this model. However, for small size experiments, asymptotic approximations, such as unbiasedness, may not be valid. Therefore, first, we employ the second order expansion of the bias of the maximum likelihood estimator (MLE) and derive the mean square error (MSE) of MLE to measure the quality of an estimator. We then define DM-optimality criterion, which is based on a function of the MSE. This criterion is applied to obtain locally optimal designs for small size experiments. The effect of sample size on the obtained designs are shown. We also obtain locally DM-optimal designs for some special cases of the model.

Estimation of Ridge Regression Under the Integrate Mean Square Error Cirterion

  • Yong B. Lim;Park, Chi H.;Park, Sung H.
    • Journal of the Korean Statistical Society
    • /
    • 제9권1호
    • /
    • pp.61-77
    • /
    • 1980
  • In response surface experiments, a polynomial model is often used to fit the response surface by the method of least squares. However, if the vectors of predictor variables are multicollinear, least squares estimates of the regression parameters have a high probability of being unsatisfactory. Hoerland Kennard have demonstrated that these undesirable effects of multicollinearity can be reduced by using "ridge" estimates in place of the least squares estimates. Ridge regrssion theory in literature has been mainly concerned with selection of k for the first order polynomial regression model and the precision of $\hat{\beta}(k)$, the ridge estimator of regression parameters. The problem considered in this paper is that of selecting k of ridge regression for a given polynomial regression model with an arbitrary order. A criterion is proposed for selection of k in the context of integrated mean square error of fitted responses, and illustrated with an example. Also, a type of admissibility condition is established and proved for the propose criterion.criterion.

  • PDF

무선랜 시스템에서의 IQ 부정합 보상 기법 연구 (IQ Unbalance Compensation for OPDM Based Wireless LANs)

  • 김지호;정윤호;김재석
    • 한국통신학회논문지
    • /
    • 제32권9C호
    • /
    • pp.905-912
    • /
    • 2007
  • 본 논문에서는 OFDM 기반 무선 LAN 시스템에서 긴 훈련심볼을 이용하는, 시간동기 오차의 영향이 고려된 IQ imbalance 추정 및 보상 기법을 제안한다. 기존의 긴 훈련심볼을 이용한 IQ imbalance 보상 기법은 시간동기 오차에 민감한 구조를 갖기 때문에 시간동기 오차가 필연적인 실제 시스템에서는 심각한 성능 저하를 보인다. 본 논문에서는 시간동기 오차로 인해 발생하는 위상회전을 상쇄시킬 수 있는 새로운 criterion을 정의하고, 이에 따른 IQ imbalance 추정 및 보상 기법을 제안한다. 제안된 기법은 시간동기 오차가 존재할 경우에도 IQ imbalance 의 영향을 이상적인 경우 대비 최대 0.2dB 이하로 보상할 수 있으며, IEEE 802.11a 시스템의 54Mbps 전송모드에 적용하였을 경우 기존 기법에 비해 약 4.3dB의 성능 이득을 보인다. 제안된 기법을 이용한 IQ imbalance 추정 및 보상단은 Verilog HDL을 이용하여 하드웨어 설계 및 검증 되었으며, 0.18um CMOS 공정을 이용하여 합성한 결과, 약 75K gates 와 6K bits의 메모리로 구현되었다.

On the ridge estimations with the correlated error structure

  • Won, Byung-Chool
    • 한국경영과학회:학술대회논문집
    • /
    • 대한산업공학회/한국경영과학회 1990년도 춘계공동학술대회논문집; 한국과학기술원; 28 Apr. 1990
    • /
    • pp.263-271
    • /
    • 1990
  • In this paper, we shall construct a ridge estimator in a multiple linear model with the correlated error structure. The existence of the biasing parameter satisfying the Mean Squared Error Criterion is also proved. Furthermore, we shall determine the value of shrinkage factors by the iteration method.

  • PDF

On the Ridge Estimations with the Corrlated Error Structure

  • Won, Byung Chool;Kim, Hae Kyung
    • 호남수학학술지
    • /
    • 제9권1호
    • /
    • pp.99-111
    • /
    • 1987
  • In this paper we shall construct a ridge estimator in a multiple linear model with the correlated error structure. The existence of the biasing parameter satisfying the Mean Squared Error Criterion is also proved. Furthermore, we shall determine the value of shrinkage factors by the iteration method.

  • PDF

A tensile criterion to minimize FE mesh-dependency in concrete beams under blast loading

  • Gang, HanGul;Kwak, Hyo-Gyoung
    • Computers and Concrete
    • /
    • 제20권1호
    • /
    • pp.1-10
    • /
    • 2017
  • This paper focuses on the mesh-size dependency in numerical simulations of reinforced concrete (RC) structures subjected to blast loading. A tensile failure criterion that can minimize the mesh-dependency of simulation results is introduced based on the fracture energy theory. In addition, conventional plasticity based damage models for concrete such as the CSC model and the HJC model, which are widely used for blast analyses of concrete structures, are compared with the orthotropic model that adopts the introduced tensile failure criterion in blast tests to verify the proposed criterion. The numerical predictions of the time-displacement relations at the mid-span of RC beams subjected to blast loading are compared with experimental results. The analytical results show that the numerical error according to the change in the finite element mesh size is substantially reduced and the accuracy of the numerical results is improved by applying a unique failure strain value determined by the proposed criterion.

An adaption algorithm for parallel model reference bilinear systems

  • Yeo, Yeong-Koo;Song, Hyung-Keun
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집(한일합동학술편); 한국과학기술대학, 충남; 16-17 Oct. 1987
    • /
    • pp.721-723
    • /
    • 1987
  • An Adaptation algorithm is presented and a convergence criterion is derived for parallel model reference adaptive bilinear systems. The output error converges asymptotically to zero, and the parameter estimates are bounded for stable reference models. The convergence criterion depends only upon the input sequence and a priori estimates of the maximum parameter values.

  • PDF

정합 오차 기준을 확장한 제한된 1비트 변환 알고리즘 기반의 움직임 예측 (Constrained One-Bit Transform based Motion Estimation using Extension of Matching Error Criterion)

  • 이상구;정제창
    • 방송공학회논문지
    • /
    • 제18권5호
    • /
    • pp.730-737
    • /
    • 2013
  • 본 논문은 정합 오차 기준을 확장한 제한된 1비트 변환 (Constrained One-Bit Transform : C1BT) 기반의 움직임 예측 알고리즘을 제안하였다. 제한된 1비트 변환 기반의 움직임 예측 알고리즘에서는 정합 오차 기준으로 기존의 움직임 예측 방법인 전역 탐색 알고리즘 (Full Search Algorithm: FSA)에서 사용되는 SAD (Sum of Absolute Differences) 대신 NNMP (Number of Non-Matching Points)를 사용하여 하드웨어 구현을 용이하게 하고 연산량을 크게 줄였으나 움직임 예측의 정확도를 감소시켰다. 이 점을 개선하고자 이 논문에서는 제한된 1비트 변환의 정합 오차 기준을 확장하여 움직임 예측의 정확도를 높이는 알고리즘을 제안하였고 이는 기존의 알고리즘과 비교한 결과 PSNR (Peak Signal to Nosie Ratio) 측면에서 더 우수한 성능을 보였다.

배합수량 변동에 따른 콘크리트의 경화성상 및 내구성에 관한 연구 (A Study on Hardened Properties and Durability of Concrete according to Unit-Water Content)

  • 구경모;임창혁;이의배;김영선;김영선;김규용
    • 한국건축시공학회:학술대회논문집
    • /
    • 한국건축시공학회 2009년도 춘계 학술논문 발표대회 학계
    • /
    • pp.45-48
    • /
    • 2009
  • The performance of concrete mainly depend upon its water-cement ratio. If water percentage is excess in concrete, it may cause the degradation of performance. Because of these reasons, the change of water content is managed by using various evaluation method of unit water content. And criterion for the change of water content is regulated and used. However the criterion is set only considering production error and measurement error but criterion does not consider performance degradation of concrete. Therefore this study tries to investigate degradation of performance while adding extra water by artificial manipulation or management error in concrete, The contents of extra water for tests are set as 0, 20, 40, 60kg/m3, to examine the performance degradation of concrete, strength, shrinkage, cracks, carbonation are tested This study conclude that, when extra water content is excess than 20kg/m3 in concrete, then performance level of concrete declined rapidly. 80 it is very important to maintain quality of concrete for its better performance.

  • PDF

Low-Complexity MIMO Detection Algorithm with Adaptive Interference Mitigation in DL MU-MIMO Systems with Quantization Error

  • Park, Jangyong;Kim, Minjoon;Kim, Hyunsub;Jung, Yunho;Kim, Jaeseok
    • Journal of Communications and Networks
    • /
    • 제18권2호
    • /
    • pp.210-217
    • /
    • 2016
  • In this paper, we propose a low complexity multiple-input multiple-output (MIMO) detection algorithm with adaptive interference mitigation in downlink multiuser MIMO (DL MU-MIMO) systems with quantization error of the channel state information (CSI) feedback. In DL MU-MIMO systems using the imperfect precoding matrix caused by quantization error of the CSI feedback, the station receives the desired signal as well as the residual interference signal. Therefore, a complexMIMO detection algorithm with interference mitigation is required for mitigating the residual interference. To reduce the computational complexity, we propose a MIMO detection algorithm with adaptive interference mitigation. The proposed algorithm adaptively mitigates the residual interference by using the maximum likelihood detection (MLD) error criterion (MEC). We derive a theoretical MEC by using the MLD error condition and a practical MEC by approximating the theoretical MEC. In conclusion, the proposed algorithm adaptively performs interference mitigation when satisfying the practical MEC. Simulation results show that the proposed algorithm reduces the computational complexity and has the same performance, compared to the generalized sphere decoder, which always performs interference mitigation.