• 제목/요약/키워드: Linear Curvature

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Accuracy of linear approximation for fitted values in nonlinear regression

  • Kahng, Myung-Wook
    • Journal of the Korean Data and Information Science Society
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    • 제24권1호
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    • pp.179-187
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    • 2013
  • Bates and Watts (1981) have discussed the problems of reparameterizing nonlinear models in obtaining accurate linear approximation confidence regions for the parameters. A similar problem exists with computing confidence curves for fitted values or predictions. The statistical behavior of fitted values does not depend on the parameterization. Thus, as long as the intrinsic curvature is small, standard Wald intervals for fitted values are likely to be sufficient. Accuracy of linear approximation for fitted values is investigated using confidence curves.

TIMELIKE TUBULAR SURFACES OF WEINGARTEN TYPES AND LINEAR WEINGARTEN TYPES IN MINKOWSKI 3-SPACE

  • Chenghong He;He-jun Sun
    • 대한수학회보
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    • 제61권2호
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    • pp.401-419
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    • 2024
  • Let K, H, KII and HII be the Gaussian curvature, the mean curvature, the second Gaussian curvature and the second mean curvature of a timelike tubular surface Tγ(α) with the radius γ along a timelike curve α(s) in Minkowski 3-space E31. We prove that Tγ(α) must be a (K, H)-Weingarten surface and a (K, H)-linear Weingarten surface. We also show that Tγ(α) is (X, Y)-Weingarten type if and only if its central curve is a circle or a helix, where (X, Y) ∈ {(K, KII), (K, HII), (H, KII), (H, HII), (KII , HII)}. Furthermore, we prove that there exist no timelike tubular surfaces of (X, Y)-linear Weingarten type, (X, Y, Z)-linear Weingarten type and (K, H, KII, HII)-linear Weingarten type along a timelike curve in E31, where (X, Y, Z) ∈ {(K, H, KII), (K, H, HII), (K, KII, HII), (H, KII, HII)}.

Accuracy of Multiple Outlier Tests in Nonlinear Regression

  • Kahng, Myung-Wook
    • Communications for Statistical Applications and Methods
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    • 제18권1호
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    • pp.131-136
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    • 2011
  • The original Bates-Watts framework applies only to the complete parameter vector. Thus, guidelines developed in that framework can be misleading when the adequacy of the linear approximation is very different for different subsets. The subset curvature measures appear to be reliable indicators of the adequacy of linear approximation for an arbitrary subset of parameters in nonlinear models. Given the specific mean shift outlier model, the standard approaches to obtaining test statistics for outliers are discussed. The accuracy of outlier tests is investigated using subset curvatures.

Effects of curvature on leverage in nonlinear regression

  • Kahng, Myung-Wook
    • Journal of the Korean Data and Information Science Society
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    • 제20권5호
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    • pp.913-917
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    • 2009
  • The measures of leverage in linear regression has been extended to nonlinear regression models. We consider several curvature measures of nonlinearity in an estimation situation. The relationship between measures of leverage and statistical curvature are explored in nonlinear regression models. The circumstances under which the Jacobian leverage reduces to a tangent plane leverage are discussed in connection with the effective residual curvature of the nonlinear model.

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SOME CHARACTERIZATIONS OF CANAL SURFACES

  • Kim, Young Ho;Liu, Huili;Qian, Jinhua
    • 대한수학회보
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    • 제53권2호
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    • pp.461-477
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    • 2016
  • This work considers a particular type of swept surface named canal surfaces in Euclidean 3-space. For such a kind of surfaces, some interesting and important relations about the Gaussian curvature, the mean curvature and the second Gaussian curvature are found. Based on these relations, some canal surfaces are characterized.

Curvature and Histogram of oriented Gradients based 3D Face Recognition using Linear Discriminant Analysis

  • Lee, Yeunghak
    • Journal of Multimedia Information System
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    • 제2권1호
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    • pp.171-178
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    • 2015
  • This article describes 3 dimensional (3D) face recognition system using histogram of oriented gradients (HOG) based on face curvature. The surface curvatures in the face contain the most important personal feature information. In this paper, 3D face images are recognized by the face components: cheek, eyes, mouth, and nose. For the proposed approach, the first step uses the face curvatures which present the facial features for 3D face images, after normalization using the singular value decomposition (SVD). Fisherface method is then applied to each component curvature face. The reason for adapting the Fisherface method maintains the surface attribute for the face curvature, even though it can generate reduced image dimension. And histogram of oriented gradients (HOG) descriptor is one of the state-of-art methods which have been shown to significantly outperform the existing feature set for several objects detection and recognition. In the last step, the linear discriminant analysis is explained for each component. The experimental results showed that the proposed approach leads to higher detection accuracy rate than other methods.

유한 물체거리를 갖는 코마수차가 보정된 2 반사경계의 곡률선형방정식 (Curvature Linear Equation of a Coma Corrected Two-Mirror System with Finite Object Distance)

  • 황석주;임천석;조재흥
    • 한국광학회지
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    • 제18권1호
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    • pp.19-23
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    • 2007
  • 원리적인 다양한 장점에도 불구하고 취급이 복잡하고 고차 연립방정식으로 표현되는 현실적 제한으로 인하여 실제 설계과정에서 잘 적용하지 않는 자이델 3차 수차를 이용하여 구한 코마수차 계수식으로부터 근사적인 제로조건을 만족하는 유한 물체거 리를 갖는 코마수차가 제거된 2반사경계의 초기설계에 유용한 곡률선형방정식을 유도하고 그 특징을 조사한다. 즉 주경과 부경의 곡률, 주경과 부경사이의 거리, 유효초점거리로 표현된 변형된 코마수차계수로부터 코마수차계수가 제거되는 조건에서 설계변수를 구하기 위해 전산수치해석 후 나온 데이터를 기반으로 주경과 부경사이의 선형관계가 나타나는 곡률선형방정식을 구하는 것이다. 이는 유한 물점의 코마수차가 보정된 2 반사경계에서 약간의 대수적인 계산만으로 최적화의 초기 입력 데이터를 손쉽게 구할 수 있는 것을 의미한다.

Diagnostics for Regression with Finite-Order Autoregressive Disturbances

  • Lee, Young-Hoon;Jeong, Dong-Bin;Kim, Soon-Kwi
    • Journal of the Korean Statistical Society
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    • 제31권2호
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    • pp.237-250
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    • 2002
  • Motivated by Cook's (1986) assessment of local influence by investigating the curvature of a surface associated with the overall discrepancy measure, this paper extends this idea to the linear regression model with AR(p) disturbances. Diagnostic for the linear regression models with AR(p) disturbances are discussed when simultaneous perturbations of the response vector are allowed. For the derived criterion, numerical studies demonstrate routine application of this work.