• Title/Summary/Keyword: hypothesis

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Performance Prediction of Multiple Hypothesis Tracking Algorithm (다중 가설 추적 알고리듬의 추적 성능예측)

  • 정영헌
    • Proceedings of the IEEK Conference
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    • 2003.07c
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    • pp.2787-2790
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    • 2003
  • In this paper, we predict tracking performance of the multiple hypothesis tracking (MHT) algorithm. The MHT algorithm is known to be an optimal Bayesian approach and is superior to asly other tracking filters because it takes into account the events that the measurements can be originated from new targets and false alarms 3s well as interesting targets. In the MHT algorithm, a number of candidate hypotheses are generated and evaluated later as more data are received. The probability of each candidate hypotheses is approximately evaluated by using the hybrid conditional average approach (HYCA). We performed numerical experiments to show the validity of our performance prediction.

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Time to change from a simple linear model to a complex systems model

  • Hong, Yun-Chul
    • Environmental Analysis Health and Toxicology
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    • v.31
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    • pp.8.1-8.2
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    • 2016
  • A simple linear model to test the hypothesis based on one-on-one relationship has been used to find the causative factors of diseases. However, we now know that not just one, but many factors from different systems such as chemical exposure, genes, epigenetic changes, and proteins are involved in the pathogenesis of chronic diseases such as diabetes mellitus. So, with availability of modern technologies to understand the intricate nature of relations among complex systems, we need to move forward to the future by taking complex systems model.

A Simple Nonparametric Test of Complete Independence

  • Park, Cheol-Yong
    • Communications for Statistical Applications and Methods
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    • v.5 no.2
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    • pp.411-416
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    • 1998
  • A simple nonparametric test of complete or total independence is suggested for continuous multivariate distributions. This procedure first discretizes the original variables based on their order statistics, and then tests the hypothesis of complete independence for the resulting contingency table. Under the hypothesis of independence, the chi-squared test statistic has an asymptotic chi-squared distribution. We present a simulation study to illustrate the accuracy in finite samples of the limiting distribution of the test statistic. We compare our method to another nonparametric test of complete independence via a simulation study. Finally, we apply our method to the residuals from a real data set.

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Effects of Objective, Subjective variables on the household economic well-being (가정경제복지에 대한 객관적, 주관적 평가 변인의 영향력)

  • 고보선
    • Journal of the Korean Home Economics Association
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    • v.33 no.6
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    • pp.269-280
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    • 1995
  • This study focused on examining the effects of Objective, Subjective variables on the household economic well-being. Data were collected from 254 financial managers in Seoul. City. Results show that the Causal model supported hypothesis. Almost of the hypothesis were supported and Perceived adequacy of resources variable was mediated between Input variables and Satisfaction with financial situation variable. The present study implicated that this model apply to family resource management research.

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CASB-DELETION DIAGNOSTICS FOR TESTING A LINEAR HYPOTHESIS ABOUT REGRESSION COEFFICIENTS

  • Kim, Myung-Geun
    • Journal of applied mathematics & informatics
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    • v.10 no.1_2
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    • pp.111-118
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    • 2002
  • We study the influence of observations on testing a linear hypothesis using single and multiple case-deletions. The change in the F-test statistic due to case-deletions is shown to be completely determined by two externally Studentized residuals. These residuals we used for investigating the outlyingness when there are linear constraints or not. An illustrative example is given. It shows the usefulness of case-deletions.

Maximum-Likelihood Estimation using a Variance-Covariance Relationship of Stochastic elements within a panel (패널내 추계적 요인들의 공분산 관계에 의한 최우추정)

  • 이회경;이진우
    • Korean Management Science Review
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    • v.11 no.2
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    • pp.29-41
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    • 1994
  • This paper analyses the stochastic nature of the Permanent Income Hypothesis (PIH) by specifying the variance-covariance structure of PIH based on Hall and Mishkin[3]. Maximum likelihood is employed to estimate the model by explicitely incorporating the heteroscedastic nature of the data into the likelihood. The data used are individual Korean household consumption and income data. The results indicate that the data are generally consistent with the Permanent Income Hypothesis, and about 11 percent of the total variation in consumption may be attributable to the excess sensitivity of consumption to income.

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Are Korean Industry-Sorted Portfolios Mean Reverting?

  • Moon, Seongman
    • East Asian Economic Review
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    • v.20 no.2
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    • pp.169-190
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    • 2016
  • This paper tests the weak-form efficient market hypothesis for Korean industry-sorted portfolios. Based on a panel variance ratio approach, we find significant mean reversion of stock returns over long horizons in the pre Asian currency crisis period but little evidence in the post-crisis period. Our empirical findings are consistent with the fact that Korea accelerated its integration with international financial market by implementing extensive capital liberalization since the crisis.

A Hypothesis Test under the Generalized Sampling Plan (일반화된 샘플링 계획에서의 가설 검정)

  • 김명수;오근태
    • Journal of Korean Society for Quality Management
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    • v.26 no.4
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    • pp.79-87
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    • 1998
  • This paper considers the problem of testing a one-sided hypothesis under the generalized sampling plan which is defined by a sequence of independent Bernoulli trials. A certain lexicographic order is defined for the boundary points of the sampling plan. It is shown that the family of probability mass function defined on the boundary points has monotone likelihood ratio, and that the test function is uniformly most powerful.

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A Nonparametric Method for Nonlinear Regression Parameters

  • Kim, Hae-Kyung
    • Journal of the Korean Statistical Society
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    • v.18 no.1
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    • pp.46-61
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    • 1989
  • This paper is concerned with the development of a nonparametric procedure for the statistical inference about the nonlinear regression parameters. A confidence region and a hypothesis testing procedure based on a class of signed linear rank statistics are proposed and the asymptotic distributions of the test statistic both under the null hypothesis and under a sequence of local alternatives are investigated. Some desirable asymptotic properties including the asymptotic relative efficiency are discussed for various score functions.

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The likelihood ratio test for detecting the best treatment among several exponential populations (지수분표에 있어서 최우수 처리의 판별을 위한 우도비 검정)

  • 황형태
    • The Korean Journal of Applied Statistics
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    • v.8 no.1
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    • pp.151-157
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    • 1995
  • The method for detecting the best treatment is considered by means of hypothesis testing in the exponential case. The likelihood ratio test for a given hypothesis is derived to control the error probability, and the minimum powers in the interested regions are calculated to design the sampling plan.

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