• Title/Summary/Keyword: Estimate Weight

Search Result 1,221, Processing Time 0.03 seconds

Estimation of Genetic and Phenotypic Covariance Functions for Body Weight as Longitudinal Data of SD-II Swine Line

  • Liu, Wenzhong;Cao, Guoqing;Zhou, Zhongxiao;Zhang, Guixian
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.15 no.5
    • /
    • pp.622-626
    • /
    • 2002
  • Growth records over six generations of 686 pigs in SD-II Swine Line were used to estimate the genetic and phenotypic covariance functions for body weight as longitudinal data. A random regression model with Legendre polynomials of age as independent variables was used to estimate the (co)variances among the regression coefficients, thus the coefficients of genetic and permanent environmental covariance functions by restricted maximum likelihood employing the average information algorithm. The results showed that, using litter effect as additional random effect, a reduced order of fit did not describe the data adequately. For all five orders of fit, however, the change trends of genetic and phenotypic (co)variances were very similar from ${\kappa}$=3 onwards.

A Study on Material Substitution Design and Evaluation Method for Structural Components of Rolling Stocks (철도차량 구조부품의 소재대체 설계 및 평가기법 연구)

  • 구정서;정현승
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.12 no.4
    • /
    • pp.74-84
    • /
    • 2004
  • In this paper, a theoretical method was derived to redesign carbody members by substituting light-weight materials, and to estimate their structural characteristics. Some performance indices to estimate structural behaviors were derived in order to obtain equivalent designs in case of material substitutions under important design constraints of rolling stock, such as bending stiffness, natural frequency, bending and buckling strength. Validity of the theoretical method was evaluated by comparing its results with finite element results in some examples where the aluminium alloy was substituted for the structural steel. The numerical results of the examples show that the proposed method gives reasonable initial guesses for the material substitution designs.

A Study on Simplified Analysis for the Initial Tank Design of Spherical Type LNG Carriers (구형 LNG 운반선의 초기 탱크 설계를 위한 간이해석법 연구)

  • Shin, Sang-Hoon
    • Journal of the Society of Naval Architects of Korea
    • /
    • v.52 no.2
    • /
    • pp.125-134
    • /
    • 2015
  • Spherical type LNG carrier has many advantages, but has a demerit it is more expensive than membrane type one. Therefore, when calculating the initial estimate of spherical type LNG carrier, high accuracy calculation of tank weight has to be carried out. In this study the simplified analysis method which is able to calculate stresses of all the tank zones is established and has special feature to deal with static and dynamic loading. In order to verify the established method, the design results obtained through the method in this study have been compared with those of existing ship obtained from finite element analysis. As a result, the usability of simplified analysis method has been confirmed.

Weight Reduction Method for Outlier in Survey Sampling

  • Kim Jin
    • Communications for Statistical Applications and Methods
    • /
    • v.13 no.1
    • /
    • pp.19-27
    • /
    • 2006
  • Outliers in survey are a perennial problem for applied survey statisticians to estimate the total or mean of population. The influence of outliers is more increasing as they have large weights in survey sampling. Many techniques have been studied to lower the impact of outliers on sample survey estimates. Outliers can be downweighted by winsorization or reducing the weight of outliers. The weight reduction is more reasonable than replacing one outlier by one value of non-outliers, because it has at least one unit. In this paper, we suggest the square root transformation of weight as the weight reduction method. We show this method is efficient with real data, and it's also easy to apply in practical affairs.

Estimation of Mechanical Properties of Sn-xAg-0.5Cu Lead-free Solder by Tensile Test (인장시험을 통한 Sn-xAg-0.5Cu 무연 솔더의 기계적 물성평가)

  • Jeong, Jong-Seol;Shin, Ki-Hoon;Kim, Jong-Hyeong
    • Journal of Welding and Joining
    • /
    • v.29 no.1
    • /
    • pp.41-45
    • /
    • 2011
  • SnAgCu lead-free solder alloy is considered as the best alternative to eutectic tin-lead solder. However, the detailed material properties of SnAgCu solder are not available in public. Hence, this paper presents an estimation of mechanical properties of SnAgCu lead-free solder. In particular, the weight percent of Ag was varied as 1.0wt%, 2.5wt%, 3.0wt%, and 4.5wt% in order to estimate the effect of Ag in the Sn-xAg-0.5Cu ternary alloy system. For this purpose, four types of SnAgCu bars were first molded by casting and then standard specimens were cut out of molded bars. Micro-Vickers hardness, tensile tests were finally performed to estimate the variations in mechanical properties according to the weight percent of Ag. Test results reveal that the higher the weight percent of Ag is, the higher the hardness, yield strength, and ultimate tensile strength become. More material properties will be further investigated in the future work.

Regression Quantiles Under Censoring and Truncation

  • Park, Jin-Ho;Kim, Jin-Mi
    • Communications for Statistical Applications and Methods
    • /
    • v.12 no.3
    • /
    • pp.807-818
    • /
    • 2005
  • In this paper we propose an estimation method for regression quantiles with left-truncated and right-censored data. The estimation procedure is based on the weight determined by the Kaplan-Meier estimate of the distribution of the response. We show how the proposed regression quantile estimators perform through analyses of Stanford heart transplant data and AIDS incubation data. We also investigate the effect of censoring on regression quantiles through simulation study.

BERGMAN KERNEL ESTIMATES FOR GENERALIZED FOCK SPACES

  • Cho, Hong Rae;Park, Soohyun
    • East Asian mathematical journal
    • /
    • v.33 no.1
    • /
    • pp.37-44
    • /
    • 2017
  • We will prove size estimates of the Bergman kernel for the generalized Fock space ${\mathcal{F}}^2_{\varphi}$, where ${\varphi}$ belongs to the class $\mathcal{W} $. The main tool for the proof is to use the estimate on the canonical solution to the ${\bar{\partial}}$-equation. We use Delin's weighted $L^2$-estimate ([3], [6]) for it.

Weighted Least Absolute Deviation Lasso Estimator

  • Jung, Kang-Mo
    • Communications for Statistical Applications and Methods
    • /
    • v.18 no.6
    • /
    • pp.733-739
    • /
    • 2011
  • The linear absolute shrinkage and selection operator(Lasso) method improves the low prediction accuracy and poor interpretation of the ordinary least squares(OLS) estimate through the use of $L_1$ regularization on the regression coefficients. However, the Lasso is not robust to outliers, because the Lasso method minimizes the sum of squared residual errors. Even though the least absolute deviation(LAD) estimator is an alternative to the OLS estimate, it is sensitive to leverage points. We propose a robust Lasso estimator that is not sensitive to outliers, heavy-tailed errors or leverage points.

The Method to Estimate Saliency Values using Gauss Weight (가우스 가중치를 이용한 돌출 값 추정을 위한 방법)

  • Yu, Young-Jung
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.17 no.4
    • /
    • pp.965-970
    • /
    • 2013
  • It is important work to extract saliency regions from an image as preprocessing for various image processing methods. In this paper, we introduce an improved method to estimate saliency value of each pixel from an image. The proposed method is an improved work of the previously studied method using color and statistical framework to estimate saliency values. At first, saliency value of each pixel is calculated using the local contrast of an image region at various scales and the most significant saliency pixel is determined using saliency value of each pixel. Then, saliency value of each pixel is again estimated using gauss weight with respect to the most significant saliency pixel and the saliency of each pixel is determined to calculate initial probability. At last, the saliency value of each pixel is calculated by Bayes' rule. The experiments show that our approach outperforms the current statistical based method.