• Title/Summary/Keyword: Local Fit

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Estimation of the Number of Change-Points with Local Linear Fit

  • Kim, Jong-Tae;Choi, Hey-Mi
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.2
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    • pp.251-260
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    • 2002
  • The aim of this paper is to consider of detecting the location, the jump size and the number of change-points in regression functions by using the local linear fit which is one of nonparametric regression techniques. It is obtained the asymptotic properties of the change points and the jump sizes. and the correspondin grates of convergence for change-point estimators.

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GOODNESS-OF-FIT TEST USING LOCAL MAXIMUM LIKELIHOOD POLYNOMIAL ESTIMATOR FOR SPARSE MULTINOMIAL DATA

  • Baek, Jang-Sun
    • Journal of the Korean Statistical Society
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    • v.33 no.3
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    • pp.313-321
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    • 2004
  • We consider the problem of testing cell probabilities in sparse multinomial data. Aerts et al. (2000) presented T=${{\Sigma}_{i=1}}^{k}{[{p_i}^{*}-E{(p_{i}}^{*})]^2$ as a test statistic with the local least square polynomial estimator ${{p}_{i}}^{*}$, and derived its asymptotic distribution. The local least square estimator may produce negative estimates for cell probabilities. The local maximum likelihood polynomial estimator ${{\hat{p}}_{i}}$, however, guarantees positive estimates for cell probabilities and has the same asymptotic performance as the local least square estimator (Baek and Park, 2003). When there are cell probabilities with relatively much different sizes, the same contribution of the difference between the estimator and the hypothetical probability at each cell in their test statistic would not be proper to measure the total goodness-of-fit. We consider a Pearson type of goodness-of-fit test statistic, $T_1={{\Sigma}_{i=1}}^{k}{[{p_i}^{*}-E{(p_{i}}^{*})]^2/p_{i}$ instead, and show it follows an asymptotic normal distribution. Also we investigate the asymptotic normality of $T_2={{\Sigma}_{i=1}}^{k}{[{p_i}^{*}-E{(p_{i}}^{*})]^2/p_{i}$ where the minimum expected cell frequency is very small.

Experiments on Local Behavior of GFRP Composite Deck for Pedestrian Bridges (보도교용 복합소재 바닥판의 국부거동시험)

  • Na, Doo-Hoon;Hong, Kee-Jeung;Lee, Sung-Woo
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2008.04a
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    • pp.84-89
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    • 2008
  • Glass fiber reinforced composite decks have high-strength, light-weight and high durability. The composite decks having vertical snap-fit connections are designed for pedestrian bridges and their structural behavior are studied. Especially in this paper, local behavior of the developed composite deck for pedestrian bridge is verified by both analysis and experiment.

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LOCAL INFLUENCE ON THE GOODNESS-OF-FIT TEST STATISTIC IN MAXIMUM LIKELIHOOD FACTOR ANALYSIS

  • Jung, Kang-Mo
    • Journal of applied mathematics & informatics
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    • v.5 no.2
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    • pp.489-498
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    • 1998
  • The influence of observations the on the goodness-of-fit test in maximum likelihood factor analysis is investigated by using the local influence method. under an appropriate perturbation the test statistic forms a surface. One of main diagnostics is the maximum slope of the perturbed surface the other is the direction vector cor-responding to the curvature. These influence measures provide the information about jointly influence measures provide the information about jointly influential observations as well as individ-ually influential observations.

The Evaluation Analysis of the Local Fishing Port Construction Project in Connection with Fishery and Fishing Village (어장·어촌과 연계한 지방어항건설사업의 평가분석)

  • Shin, Seung-Sik;Park, Ju-Sam
    • Journal of Fisheries and Marine Sciences Education
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    • v.20 no.3
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    • pp.369-380
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    • 2008
  • The government has promoted the local fishing port construction project since 1972 for conquest of the crisis of the fishing village by withering of a fishery, the improvement in fishermen's living environment and quality of life, and promotion of fisheries. In order to estimate the local fishing port construction project objective and synthetically, and to grope for the method proposal of system establishment of the project, the monitoring survey was carried out. The monitoring survey was classified into the program and the performance monitoring. The program monitoring was carried out in order to investigate the project fit for the inhabitants of a fishing village. The performance monitoring was carried out in order to investigate the development latent powers, fishery latent powers, tourism latent powers of a fishing village, rural settlement conditions, etc. using various statistical materials. Since investigating the measured value before executing a policy was not completed, the project effect was compared with the measured value of other areas. According to the local fishing port construction project, the development latent powers, fishery latent powers, and tourism latent powers of the fishing village where the project was undertaken improved greatly, and income of the fishing village increased greatly. As a result of comparing project fit in order to evaluate the project, the project fit of the local fishing port construction project area was higher than the non-project area. Desirable method proposal of monitoring survey was established and the method for raising the efficiency of monitoring survey was extracted.

Change-Points with Jump in Nonparametric Regression Functions

  • Kim, Jong-Tae
    • 한국데이터정보과학회:학술대회논문집
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    • 2005.04a
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    • pp.193-199
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    • 2005
  • A simple method is proposed to detect the number of change points with jump discontinuities in nonparamteric regression functions. The proposed estimators are based on a local linear regression fit by the comparison of left and right one-side kernel smoother. Also, the proposed methodology is suggested as the test statistic for detecting of change points and the direction of jump discontinuities.

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Detection of Change-Points by Local Linear Regression Fit;

  • Kim, Jong Tae;Choi, Hyemi;Huh, Jib
    • Communications for Statistical Applications and Methods
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    • v.10 no.1
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    • pp.31-38
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    • 2003
  • A simple method is proposed to detect the number of change points and test the location and size of multiple change points with jump discontinuities in an otherwise smooth regression model. The proposed estimators are based on a local linear regression fit by the comparison of left and right one-side kernel smoother. Our proposed methodology is explained and applied to real data and simulated data.

Local brands development and brand consulting framework for SMEs: Governmental supporting programs (중소기업의 현지브랜드 개발과 브랜드 컨설팅 프레임워크: 정부지원프로그램을 중심으로)

  • Kim, Gwi-Gon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.5
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    • pp.1845-1855
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    • 2010
  • The brand consulting for paving the way for overseas-based companies to develop local brands includes many processes such as the analysis of local markets and consumers, the analysis of in-and-out circumstances including the diagnosis of corporate competence and resource, the establishment of brand strategies, the development of brand concepts, and the development of design, which should be performed before the eventual launch of overseas markets. So, the success of overseas-based brand consulting just depends on coworking(i.e., consortium) by brand experts from international marketing, design to local-overseas brand rights which have been barely touched upon by the brand experts. This study aims to present brand consulting framework and to support the development of local-fit brands when the small and medium industries, esteemed relatively less compatible than conglomerates, expand their business in the non-English-speaking countries. This study also includes the results of a demand inquiry on the local fit brand targeted for SMEs. As a brand consulting framework which has been performed at work sites through the accumulated many year's trial and error, it could be a significantly meaningful guidance for the brand experts who perform local-fit brands consulting and the SMEs who look for overseas-based brand consulting.

Fuzzy Local Linear Regression Analysis

  • Hong, Dug-Hun;Kim, Jong-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.515-524
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    • 2007
  • This paper deals with local linear estimation of fuzzy regression models based on Diamond(1998) as a new class of non-linear fuzzy regression. The purpose of this paper is to introduce a use of smoothing in testing for lack of fit of parametric fuzzy regression models.

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Some Results on the Log-linear Regression Diagnostics

  • Yang, Mi-Young;Choi, Ji-Min;Kim, Choong-Rak
    • Communications for Statistical Applications and Methods
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    • v.14 no.2
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    • pp.401-411
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    • 2007
  • In this paper we propose an influence measure for detecting potentially influential observations using the infinitesimal perturbation and the local influence in the log-linear regression model. Also, we propose a goodness-of-fit measure for variable selection. A real data set are used for illustration.