• Title/Summary/Keyword: Estimating procedure

Search Result 405, Processing Time 0.022 seconds

Maximum Control Force of Velocity-dependent Damping Devices Using Response Estimation Models (응답예측모델을 이용한 속도의존형 감쇠장치의 최대제어력 산정)

  • 이상현;민경원
    • Transactions of the Korean Society for Noise and Vibration Engineering
    • /
    • v.14 no.6
    • /
    • pp.503-511
    • /
    • 2004
  • In this study, for estimating responses of a controlled structure and determining the maximum control force of velocity-dependent damping devices, three estimation models such as Fourier envelope convex model, probability model, and Newmark design spectrum are used. For this purpose, a procedure is proposed for estimating actual velocity using pseudo-velocity and this procedure considers the effects of damping ratio increased by the damping device. Time history results indicate that actual velocity should be used for estimating accurate maximum control force of damping device and Newmark design spectrum modified by the proposed equation gives the best estimation results for over all period structures.

Estimation of high-dimensional sparse cross correlation matrix

  • Yin, Cao;Kwangok, Seo;Soohyun, Ahn;Johan, Lim
    • Communications for Statistical Applications and Methods
    • /
    • v.29 no.6
    • /
    • pp.655-664
    • /
    • 2022
  • On the motivation by an integrative study of multi-omics data, we are interested in estimating the structure of the sparse cross correlation matrix of two high-dimensional random vectors. We rewrite the problem as a multiple testing problem and propose a new method to estimate the sparse structure of the cross correlation matrix. To do so, we test the correlation coefficients simultaneously and threshold the correlation coefficients by controlling FRD at a predetermined level α. Further, we apply the proposed method and an alternative adaptive thresholding procedure by Cai and Liu (2016) to the integrative analysis of the protein expression data (X) and the mRNA expression data (Y) in TCGA breast cancer cohort. By varying the FDR level α, we show that the new procedure is consistently more efficient in estimating the sparse structure of cross correlation matrix than the alternative one.

Approximate Overdetermined Method for Spectral Estimation (스펙트럼 추정을 위한 근사 과결정 방식)

  • 이철희;정찬수;양흥석
    • The Transactions of the Korean Institute of Electrical Engineers
    • /
    • v.37 no.4
    • /
    • pp.232-239
    • /
    • 1988
  • The approximate overdetermined method is proposed for high resolution spectral estimation in case of short data record length or narrow band signal. And a new recursive AR parameter estimation is derived in the form of fast algorithm. For ARMA spectral estimation, two stage procedure is used in estimating ARMA parameters. First AR parameters are estimated by using the modified Yule-Walker equations, and then MA parameters are implicitly estimated by estimating numerator spectral(NS) coefficients.

  • PDF

A Study on Estimating Mean Lifetime After Modifying Censored Observations

  • Kim, Jinh-eum;Kim, Jee-hoon
    • Journal of Korean Society for Quality Management
    • /
    • v.26 no.1
    • /
    • pp.161-171
    • /
    • 1998
  • Kim and Kim (1997) developed a method of estimating the mean lifetime based on the augmented data after imputing censored observations. Assuming the linear relationship between lifetime and covariates, and then introducing the procedure of Buckley and James (1979) to estimate the mean lifetimes of censored observations, they proposed a mean lifetime estimator and its consistency under the regularity conditions. In this article, the Kim and Kim's estimator is compared with the estimator introduced by Gill (1983) through simulations under the various configurations. Also, their estimator is illustrated with two real data sets.

  • PDF

Design Flood Estimation using Historical Rainfall Events and Storage Function Model in Large River Basins (과거강우사상과 저류함수모형을 이용한 대유역 계획홍수량 추정)

  • Youn, Jong-Woo;Lee, Dong-Ryul;Ahn, Won-Sik;Rim, Hae-Wook
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.29 no.3B
    • /
    • pp.269-279
    • /
    • 2009
  • The design flood estimation in a large river basin has a lot of uncertainties in areal reduction factors, time-spatial rainfall distribution, and parameters of rainfall-runoff model. The use of historical concurrent rainfall events for estimating design flood would reduce the uncertainties. This study presents a procedure for estimating design floods using historical rainfall events and storage function model. The design rainfall and time-spatial distribution were determined through analyzing concurrent rainfall events, and the design floods were estimated using storage function model with a non-linear hydrology response. To evaluate the applicability of the procedure of this study, the estimated floods were compared to results of frequency analysis of flood data. Both floods gave very similar results. It shows the applicability of the procedure presented in this study for estimating design floods in practices.

Exact simulataneous confidence interval for the case of four means using TK procedure (Tukey-Kramer방법을 이용한 4개 평균에 관한 정확한 동시 신뢰구간의 통계적 계산 방법)

  • 김병천;김화선;조신섭
    • The Korean Journal of Applied Statistics
    • /
    • v.2 no.1
    • /
    • pp.18-34
    • /
    • 1989
  • The problem of simultaneously estimating the pairwise differences of means of four independent normal populations with equal variances is considered. A statistical computing procedure involving a trivariate t density constructs the exact confidence intervals with simultaneous co verage probability equal to $1-\alpha$. For equal sample sizes, the new procedure is the same as the Tukey studentized range procedure. With unequal sample sizes, in the sense of efficiency for confidence interval lengths and experimentwise error rates, the procedure is superior to the various generalized Tukey procedures.

Estimation of Occurrence Frequency of Short Term Air Pollution Concentration Using Texas Climatological Model (Texas Climatological Model에 의한 短期 大氣汚染濃度 發生頻度의 推定)

  • Lee, Chong-Bum
    • Journal of Korean Society for Atmospheric Environment
    • /
    • v.4 no.2
    • /
    • pp.67-71
    • /
    • 1988
  • To estimate the probability of short term concentration of air pollution using long term arithmetic average concentration, the procedure was developed and added to Texas Climatological Model version 2. In the procedure, such statistical characteristics that frequency distribution of short term concentration may be approximated by a lognormal distribution, were applied. This procedure is capable of estimating not only highest concentration for a variety of averaging times but also concentrations for arbitrary occurrence frequency. Evaluation of the procedure with the results of short term concentrations calculated by Texas Episodic Model version 8 using the meteorological data and emission data in Seoul shows that the procedure estimates concentrations fairly well for wide range of percentiles.

  • PDF

Kernel Poisson regression for mixed input variables

  • Shim, Jooyong
    • Journal of the Korean Data and Information Science Society
    • /
    • v.23 no.6
    • /
    • pp.1231-1239
    • /
    • 2012
  • An estimating procedure is introduced for kernel Poisson regression when the input variables consist of numerical and categorical variables, which is based on the penalized negative log-likelihood and the component-wise product of two different types of kernel functions. The proposed procedure provides the estimates of the mean function of the response variables, where the canonical parameter is linearly and/or nonlinearly related to the input variables. Experimental results are then presented which indicate the performance of the proposed kernel Poisson regression.

Robust Bayes and Empirical Bayes Analysis in Finite Population Sampling with Auxiliary Information

  • Kim, Dal-Ho
    • Journal of the Korean Statistical Society
    • /
    • v.27 no.3
    • /
    • pp.331-348
    • /
    • 1998
  • In this paper, we have proposed some robust Bayes estimators using ML-II priors as well as certain empirical Bayes estimators in estimating the finite population mean in the presence of auxiliary information. These estimators are compared with the classical ratio estimator and a subjective Bayes estimator utilizing the auxiliary information in terms of "posterior robustness" and "procedure robustness" Also, we have addressed the issue of choice of sampling design from a robust Bayesian viewpoint.

  • PDF

Filtered Randomized Response Technique

  • Choi, Kyoung-Ho
    • Communications for Statistical Applications and Methods
    • /
    • v.13 no.2
    • /
    • pp.319-326
    • /
    • 2006
  • Randomized response technique is a survey technique for eliminating evasive answer bias. This technique is popular in social survey for sensitive issues. In this paper we present a simple and obvious procedure for estimating the population proportion of a sensitive group. Here, we shows the weak point in the method of Kim and Warde (2005). Also, it is found that the proposed procedure is more efficient than the ones of Warner (1965) and Kim and Warde (2005). Lastly we discuss the conditions that the suggested method will be more efficienct.