• Title/Summary/Keyword: Bartlett

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A Study on Unmanned Vehicles Estimation using Steepest Descent, Wiener and Bartlett Algorithm (최급 하강법 및 위너 방법을 Bartlett알고리즘에 적용한 무인 이동체 탐지 방법에 대한 연구)

  • Lee, Kwan-Hyeong;Song, Woo-Young
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.10 no.2
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    • pp.154-160
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    • 2017
  • In this paper, we studied the Bartlett method to correctly estimate the targets of a unmanned vehicles. The Bartlett method estimates the desired signals by making the gain constant for the received signal incident on the array antenna. In this paper, the weights of the Bartlett method are updated by applying the winner method and steepest descent method in order to estimation the accurate unmanned. The updated weights improve the resolution of the existing Bartlett method by applying optimal weights to all received signals received at the array antenna. Through simulation, we are comparative analysis about the performance of proposed method. From result of simulation, We showed the superior performance of the proposed method relative to the classical method, and Bartlett using steep descent method showed more superior than one using wiener method.

Signal Estimation of Target Using Modified Bartlett Method of Weight Updating (가중치 갱신의 수정 Bartlett 방법을 이용한 목표물 신호 추정)

  • Lee, Kwan-Hyeong;Joo, Jong-Hyuk
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.4
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    • pp.330-336
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    • 2016
  • In this paper, we studied for modified bartlett method to estimate desired information signal. Constrained length of bartlett method is assigned as one, and estimate desired information signal to compensate for delay time. Modified bartlett method is an optimum direction-of-arrival (DoA) estimation algorithm to apply delay time compensation to update optimum weight. The optimum weight is used linear constrained minimum variance method(LCMV). Through simulation, we are comparative analysis proposed algorithm and general Bartlett and MUSIC method. In desired signal estimation, condition simulation is an array antenna element numbers 6 or 9 and desired information signals number 3. We show the superior performance of the proposed algorithm relative to the existing method in estimation of desired information signal.

On Bahadur Efficiency and Bartlett Adjustability of Quasi-LRT Statistics

  • Lee, Kwan-Jeh
    • Journal of the Korean Statistical Society
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    • v.27 no.3
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    • pp.251-264
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    • 1998
  • When the LRT is not feasible, we define quasi-LRT(QLRT) as a modification of the LRT Under some appropriate conditions the QLRT shares Bahadur optimality and Bartlett Adjustability with the LRT. When we can find maximum likelihood estimator under the null parameter space but not under the unrestricted parameter space, our QLRT is Bahadur optimal as is the LRT We suggest the stopping rule of the Newton-Raphson iterations for constructing the QLRT statistics which are Bartlett adjustable.

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A Study on Modified Linear Prediction Method to Improve Target Estimation (목표물 추정 향상을 위한 수정 선형 예측방법에 대한 연구)

  • Lee, Kwan-Hyeong;Joo, Jong-Hyuk
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.4
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    • pp.337-342
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    • 2016
  • In this paper, we studied a modified linear prediction method to estimate target signal correctly. Linear prediction method estimate direction-of-arrival to linear combination for any antenna element and other antenna elements. Modified linear prediction used optimal weight and posterior probability method. Through simulation, we are comparative analysis about the performance of proposed, bartlett and MUSIC method. From simulation, Bartlett and MUSIC method was estimation 3 targets signal, and proposed method estimated 4 targets. We showed the superior performance of the proposed algorithm relative to the classical method in order to estimate of target signals.

일반화 감마분포에서의 누율계산과 지표모수에 대한 Bartlett 검정

  • 나종화
    • Communications for Statistical Applications and Methods
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    • v.4 no.2
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    • pp.533-540
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    • 1997
  • 일반화 감마분포(generalized gamma distribution)에서 지표모수(index parameter)에 대한 추론은 생존시간(lifetime)과 관련한 모형의 선택문제에서 매우 중요하다. 이에 대한 정확한(exact) 추론법은 알려져 있지 않다. 본 연구에서는 이에 대한 점근적(asymptotic) 검정법으로 소표본에서도 우도비 검정에 비해 효율이 뛰어난 Bartlett 검정을 제안하고, 이의 요율적 수행을 위한 대체 모형으로 부터의 누율계산(cumulant computation) 법을 제시하였다. 또한 실제자료에 대해 본 논문에서 제시한 누율계산과정을 이용하여 Bartlett 검정을 실시한 결과 기존의 우도비 검정과는 상당히 큰 차이가 남을 확인하였다. 따라서 모형의 선택 등의 문제에서 제안된 방법은 소표본의 경우에 더욱 효율적이라 할 수 있다.

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추계학적 시강우모의 기법을 이용한 극한강우 발생 및 시간단위 설계강우량 산정기법에 대한 평가

  • Lee, Jung-Ki;Kim, Byung-Sik;Jun, Byong-Hee;Kim, Hung-Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.344-344
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    • 2012
  • 추계학적 강우모의발생기법은 수문학적 분석에 널리 이용되는 방법으로서 장기간의 강우입력 자료를 이용할 수 없는 경우 과거의 관측 자료를 반복하여 이용하기 보다는 과거 관측치의 통계학적 특성을 지니고 있는 합성강우량 시계열자료를 모의하여 설계 강우량 산정 및 강우-유출모형을 이용한 장기해석 등과 같은 수문학적 해석을 위한 입력 자료를 확충하기 위해 이용된다. 그러나 최근 기후변화로 인해 수문학적 설계 강우량 산정 시 가장 중요한 강우발생 특성과 극한치의 특성이 변화하고 있기 때문에 전통적인 추계학적 강우발생기법을 이용하여 강우 시계열자료를 확충하는 것은 한계가 있을 것으로 추정되고 있다. 이에 본 논문에서는 최근 유럽 등에서 도시배수체계의 설계를 위해 널리 이용되고 있는 Bartlett-Lewis rectangular pulse 모형을 이용하여 시간단위 강수량자료를 확충하고 모의된 강우량시계열자료와 실측 강우량자료를 통계학적으로 비교하였다. 또한, 극한치 분석을 통해 변화하는 기후상황에서 적합한지를 평가하였다.

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Score Tests for Overdispersion

  • Kim, Choong-Rak;Jeong, Mee-Seon;Yang, Mee-Yeong
    • Journal of the Korean Statistical Society
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    • v.23 no.1
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    • pp.207-216
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    • 1994
  • Count data are often overdispersed, and an appropriate test for the existence of the overdispersion is necessary. In this paper we derive a score test based on the extended quasi-likelihood and the pseudolikelihood after adjusting to the Bartlett factor. Also, we compare it with Levene (1960)'s F-type test suggested by Ganio and Schafer (1992).

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On Bootstrapping; Bartlett Adjusted Empirical Likelihood Ratio Statistic in Regression Analysis

  • Woochul Kim;Duk-Hyun Ko;Keewon Lee
    • Journal of the Korean Statistical Society
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    • v.25 no.2
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    • pp.205-216
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    • 1996
  • The bootstrap calibration method for empirical likelihood is considered to make a confidence region for the regression coefficients. Asymptotic properties are studied regarding the coverage probability. Small sample simulation results reveal that the bootstrap calibration works quite well.

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Breeding of the Scab-Resistant Pear Cultivar 'Greensis' (배 검은별무늬병 저항성 품종 '그린시스' 육성)

  • Kim, Yoon-Kyeong;Kang, Sam-Seok;Won, Kyung-Ho;Shin, Il-Sheob;Cho, Kwang-Sik;Ma, Kyeong-Bok;Kim, Myung-Su;Choi, Jang-Jeon;Choi, Jin-Ho
    • Horticultural Science & Technology
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    • v.34 no.4
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    • pp.655-661
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    • 2016
  • To develop scab-resistant pear (Pyrus spp.) varieties with fruits that are as crisp and juicy as Asian pears, a cross was made between 'Whangkeumbae' and 'Bartlett' varieties (P. pyrifolia ${\times}$ P. communis) at the Pear Research Institute of the National Institute of Horticultural & Herbal Science, Rural Development Administration, in 1994. Among the 285 seedlings, 'Greensis' was first selected in 2006 for its good eating quality and named in 2012 after regional adaptation tests in nine regions and ten experimental plots from 2007 to 2012. The tree showed a vigorous growth habit and semi-spreading characteristics, like 'Whangkeumbae'. The optimum fruit harvest date was also around Sept. 26 and fruit was round in shape and green in skin color at maturity. Average fruit weight was 470g, and the soluble solids content was $12.4^{\circ}Brix$. The flesh was very crisp and juicy, and had good eating quality. Its' leaf size was similar with 'Bartlett' and smaller than 'Whangkeumbae'. The average of full bloom date of 'Greensis' was determined as Apr. 26, which was six days later than 'Whangkeumbae' and similar with 'Bartlett'. S genotypes of 'Greensis' were identified as $S_4S_e$ by S-allele PCR product sequencing analysis. It seems that the $S_4$ allele was inherited from 'Whangkeumbae' and the Se allele from 'Bartlett'. 'Greensis' displayed strong resistance to scab disease caused by Venturia nashicola, similar to European pear cultivars like 'Beurre Hardy' and, 'Conference'. 'Greensis' was also highly resistant to black leaf spot (Alternaria kikuchiana) in the field