• 제목/요약/키워드: location estimator

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NLOS Mitigation for TOA Location Based on Pattern Matching Algorithm

  • Hur, Soojung;Akbarov, Dilshod;Park, Yongwan
    • 대한임베디드공학회논문지
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    • 제4권2호
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    • pp.63-68
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    • 2009
  • The location of mobile terminals in cellular networks is an important problem in the field of information technology with applications in resource allocation, location sensitive browsing, and emergency communications. Finding location estimation techniques that are robust to non-line of light (NLOS) propagation is a key problem in this area. Time of arrival (TOA) and pattern matching (PM) measurements can be made simultaneously by CDMA cellular networks at low cost. The different sources of errors for each measurement type cause TOA and PM measurements to contain independent information about mobile station (MS) locations. This paper combines the information of PM and TOA measurements to calculate a superior location estimate. The proposed location estimator is robust, provides lower error than the estimators based on the individual measurements, and has low implementation costs.

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Distribution of the Estimator for Peak of a Regression Function Using the Concomitants of Extreme Oder Statistics

  • Kim, S.H;Kim, T.S.
    • Communications for Statistical Applications and Methods
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    • 제5권3호
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    • pp.855-868
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    • 1998
  • For a random sample of size n from general linear model, $Y_i= heta(X_i)+varepsilon_i,;let Y_{in}$ denote the ith oder statistics of the Y sample values. The X-value associated with $Y_{in}$ is denoted by $X_{[in]}$ and is called the concomitant of ith order statistics. The estimator of the location of a maximum of a regression function, $ heta$($\chi$), was proposed by (equation omitted) and was found the convergence rate of it under certain weak assumptions on $ heta$. We will discuss the asymptotic distributions of both $ heta(X_{〔n-r+1〕}$) and (equation omitted) when r is fixed as nolongrightarrow$\infty$(i.e. extreme case) on the basis of the theorem of the concomitants of order statistics. And the will investigate the asymptotic behavior of Max{$\theta$( $X_{〔n-r+1:n〕/}$ ), . , $\theta$( $X_{〔n:n〕}$)}as an estimator for the peak of a regression function.

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Estimation for the Extreme Value Distribution Based on Multiply Type-II Censored Samples

  • Kang, Suk-Bok
    • Journal of the Korean Data and Information Science Society
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    • 제16권3호
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    • pp.629-638
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    • 2005
  • We derive the approximate maximum likelihood estimators of the scale parameter and location parameter of the extreme value distribution based on multiply Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

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AMLEs for Rayleigh Distribution Based on Progressive Type-II Censored Data

  • Seo, Eun-Hyung;Kang, Suk-Bok
    • Communications for Statistical Applications and Methods
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    • 제14권2호
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    • pp.329-344
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    • 2007
  • In this paper, we shall propose the AMLEs of the scale parameter and the location parameter in the two-parameter Rayleigh distribution based on progressive Type-II censored samples when one parameter is known. We also propose the AMLEs of the two parameters in the Rayleigh distribution based on progressive Type-II censored samples when two parameters are unknown. We simulate the mean squared errors of the proposed estimators through Monte Carlo simulation for various censoring schemes.

Change-point Estimators Using Rank Average in Location Change Model

  • Kim, Jeahee;Jang, Heeyoon
    • Communications for Statistical Applications and Methods
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    • 제6권2호
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    • pp.467-478
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    • 1999
  • This paper deals with the problem of change-point estimation where there is one level change in location with iid errors. A change-point estimator using rank average is proposed with the proof of its consistency. A comparison study of various change-point estimators is done by simulation on the mean the proportion and the variance when the errors are from the normal and the double exponential distributions.

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Estimation for a bivariate survival model based on exponential distributions with a location parameter

  • Hong, Yeon Woong
    • Journal of the Korean Data and Information Science Society
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    • 제25권4호
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    • pp.921-929
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    • 2014
  • A bivariate exponential distribution with a location parameter is proposed as a model for a two-component shared load system with a guarantee time. Some statistical properties of the proposed model are investigated. The maximum likelihood estimators and uniformly minimum variance unbiased estimators of the parameters, mean time to failure, and the reliability function of system are obtained with unknown guarantee time. Simulation studies are given to illustrate the results.

Three Remakrs on Pitman Domination

  • Yoo, Seong-Mo;Herbert T. David
    • Journal of the Korean Statistical Society
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    • 제24권2호
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    • pp.361-373
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    • 1995
  • Three remarks are offered, pertaining to classes of estimators Pitman-dominating a given estimator. The first remark concerns incorporating general loss in the construction of such classes. The second remark concerns Pitman domination comparisons amongst the members of such classes. The third remark concerns construction of such a class in the location-scale case.

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Jackknife Parametric Estimations in a Truncated Arcsine Distribution

  • Kim, Jung-Dae;Lee, Chang-Soo
    • Journal of the Korean Data and Information Science Society
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    • 제8권1호
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    • pp.91-97
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    • 1997
  • Maximum likelihood and jackknife estimators of the location and scale parameters and right-tail probability in the truncated arcsine distribution are proposed, and we shall compare the performances of the proposed estimators in terms of bias and mean squared error.

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Spatiotemporal Visualization of Unit Price Data of Highway Projects

  • Jain, Deepanshi;Shrestha, K. Joseph;Jeong, H. David
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.77-81
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    • 2015
  • The unit price contracting is the standard contracting method for highway projects in the U.S. As a result, state highway agencies have collected a large amount of historical bid data that they can use to determine engineer's estimates for future projects. The estimator must carefully consider various characteristics of a new project such as its location to determine an engineer's estimate as accurate as possible before bid letting. Higher cost estimates can result in the loss of the available budget and lower cost estimates may lead to deferral and delay of projects. The study uses the historical bid data obtained from Iowa Department of Transportation and develops a Geographic Information System (GIS) tool to visually show the variation of unit prices over the map using a spatial interpolation technique. The interpolation map can be used to estimate the unit price of the item at any location across Iowa. This noble method allows the estimator to effectively and fully utilize the historical bid data in a very time efficient manner and determine more accurate cost estimation.

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TDOA 방식 기반 3-D 위치 추정을 위한 BLUE 추정기 (A BLUE Estimator of 3-D Positioning by TDOA Method)

  • 이영규;양성훈;권택용;이창복;박병구;이원진
    • 한국통신학회논문지
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    • 제37B권10호
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    • pp.912-920
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    • 2012
  • 이 논문에서는 발신자가 송출한 신호를 이용하여 TDOA(Time Difference of Arrival) 방식으로 발신자의 3 차원 위치를 추정할 때, BLUE(Best Linear Unbiased Estimator) 추정기를 닫힌 해 형태로 구하였다. 4 개의 기준국 또는 센서를 사용하여 3차원의 발신자 위치를 추정할 때, BLUE 추정기를 구하기 위해서 발신자의 위치에 대한 기준 위치를 설정한 후 이를 1 차 Taylor 급수로부터 유도된 근사화된 TDOA 쌍곡선 방정식을 사용하였다. 이 논문에서 근사화를 통해 구해진 유도식은 각 기준국 또는 센서에서의 TOA(Time of Arrival) 측정 잡음이 서로 상관관계가 없고 독립적이라는 가정하에서, 백색 가우시안 잡음에 대해서뿐만 아니라 평균이 제로인 모든 잡음에 대해서 적용할 수 있다.