• Title/Summary/Keyword: Change point

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ESTIMATION OF DRIFT PARAMETER AND CHANGE POINT VIA KALMAN-BUCY FILTER FOR LINEAR SYSTEMS WITH SIGNAL DRIVEN BY A FRACTIONAL BROWNIAN MOTION AND OBSERVATION DRIVEN BY A BROWNIAN MOTION

  • Mishra, Mahendra Nath;Rao, Bhagavatula Lakshmi Surya Prakasa
    • Journal of the Korean Mathematical Society
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    • v.55 no.5
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    • pp.1063-1073
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    • 2018
  • We study the estimation of the drift parameter and the change point obtained through a Kalman-Bucy filter for linear systems with signal driven by a fractional Brownian motion and the observation driven by a Brownian motion.

A study on Intraparticle Diffusivity for Adsorptive Removal of Orthophosphate Ion by the Ziriconium Oxide Hydrate-Activated Carbon Complex (산화질리코늄수화물-활성탄 복합체에 의한 오르토인산이온의 흡착제거에서 입자내 확산계수에 관한 연구)

  • 김성빈;김성근
    • Journal of the Korean Graphic Arts Communication Society
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    • v.6 no.1
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    • pp.75-86
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    • 1988
  • This is a experiment about change of highlight point by HBU and HLM of auxiliary function of gradation in color scanner. The result of change - over by HBU and HLM are summerized as follows. Therefore, the determination for the effective point and the amount of HBU and HLM are decided by the Table 1 and Table 2.

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A Change Point Problem in the Regression Model When the Errors are Correlated

  • Cho, Sinsup;Cho, Kwan Ho;Song, Moon Sup
    • Journal of Korean Society for Quality Management
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    • v.16 no.2
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    • pp.68-81
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    • 1988
  • Testing procedures for a detection of change point in the regression model with correlated errors are discussed. A Bayesian approach is adopted and applied to a regression model with errors following an AR(1) model.

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A GAUSSIAN SMOOTHING ALGORITHM TO GENERATE TREND CURVES

  • Moon, Byung-Soo
    • Journal of applied mathematics & informatics
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    • v.8 no.3
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    • pp.731-742
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    • 2001
  • A Gaussian smoothing algorithm obtained from a cascade of convolutions with a seven-point kernel is described. We prove that the change of local sums after applying our algorithm to sinusoidal signals is reduced to about two thirds of the change by the binomial coefficients. Hence, our seven point kernel is better than the binomial coefficients when trend curves are needed to be generated. We also prove that if our Gaussian convolution is applied to sinusoidal functions, the amplitude of higher frequencies reduces faster than the lower frequencies and hence that it is a low pass filter.

The CUSUM test for stochastic volatility models

  • Kim, Moo-Sup;Lee, Sang-Yeol
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.6
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    • pp.1305-1310
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    • 2010
  • In this paper, we consider a change point test for stochastic volatility models. By considering the relation between moments of the logarithms of squared returns and the parameters, we construct the cusum test to detect changes of the parameters. We also carry out a simulation study and verify that the proposed test is more powerful than the cusum test proposed by Kokoszka and Leipus (2000).

Study on Foreign Exchange Risk Insurance, Risk Premium Hedge Ratio in WTO/OECD (WTO/OECD하에서 환변동보험의 헤지 성과분석연구)

  • Lee, Eun-Jae;Oh, Tae-Hyung
    • International Commerce and Information Review
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    • v.9 no.3
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    • pp.151-160
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    • 2007
  • The purpose of this study is to estimate the risk premium hedge ratio in foreign exchange risk of the foreign exchange rate insurance. The applicants of exchange rate insurance and Korea Export Insurance Corporation will be facing the risk in change of currency and guaranteed currency’s swap point upon contract being made. Also upon making decision of hedging exchange rate insurance, the company will need to be aware of the risk causing due to change in swap point.

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Research about commerce equipment change factor in apartment house complex (공동주택단지내 상업시설의 변화요인에 관한 연구)

  • 최용준;김한수
    • Journal of the Korean housing association
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    • v.12 no.4
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    • pp.105-113
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    • 2001
  • This research indicates to controversial point that store equipments were not applying correct development factor in the each apartment house by that change rate by scale and uniformity of form and inefficiency, effect of discount store is increasing in apartment house and progressed research. The result are as follows; First, interior main point of store of that influence greatly to change rate number of store be. Second, being lot area in jar in outside factor of store. Third, discount store separation appeared by leading person who influence greatly to change rate in middle who is contiguity market singleness residential quarter and contiguity existence of commercial district and nonexistence and discount store separation of only outside right near at hand. Construction of commerce equipment may have to consist in practical apartment house after examine various kinds factor such as store indoor, store outside and only outside while plan practical use of systematic and efficient commerce equipment focusing more in efficient utilization of commerce institution that consist after plan that is not planed commerce equipment focusing in development in plan of commerce equipment in apartment house hereafter accordingly.

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Bayesian Parameter Estimation using the MCMC method for the Mean Change Model of Multivariate Normal Random Variates

  • Oh, Mi-Ra;Kim, Eoi-Lyoung;Sim, Jung-Wook;Son, Young-Sook
    • Communications for Statistical Applications and Methods
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    • v.11 no.1
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    • pp.79-91
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    • 2004
  • In this thesis, Bayesian parameter estimation procedure is discussed for the mean change model of multivariate normal random variates under the assumption of noninformative priors for all the parameters. Parameters are estimated by Gibbs sampling method. In Gibbs sampler, the change point parameter is generated by Metropolis-Hastings algorithm. We apply our methodology to numerical data to examine it.

Test for Distribution Change of Dependent Errors (종속 오차에 대한 분포 변화 검정법)

  • Na, Seong-Ryong
    • Communications for Statistical Applications and Methods
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    • v.16 no.4
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    • pp.587-594
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    • 2009
  • In this paper the change point problem of the error terms in linear regression models is considered. Since fixed or stochastic independent variables and weakly dependent errors are assumed, usual multiple regression models and time series models including ARMA are covered. We use the estimates of probability density function based on residuals in order to test the distribution change of the unobserved errors. Under some mild conditions, the test using the residuals is proved to have the same limiting distribution as the test based on true errors.

Bayesian Multiple Change-Point Estimation for Single Quantum Dot Luminescence Intensity Data (단일 양자점으로부터 발생한 발광세기 변화에 대한 베이지안 다중 변화점 추정)

  • Kima, Jaehee;Kimb, Hahkjoon
    • The Korean Journal of Applied Statistics
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    • v.26 no.4
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    • pp.569-579
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    • 2013
  • In the field of single-molecule spectroscopy, it is essential to analyze luminescence Intensity changes that result from a single molecule. With the CdSe/ZnS core-shell structured quantum dot photon emission data Bayesian multiple change-point estimation is done with the gamma prior for Poisson parameters and truncated Poisson distribution for the number of change-points.