• 제목/요약/키워드: exact interval

검색결과 168건 처리시간 0.023초

Tukey-Kramer방법을 이용한 4개 평균에 관한 정확한 동시 신뢰구간의 통계적 계산 방법 (Exact simulataneous confidence interval for the case of four means using TK procedure)

  • 김병천;김화선;조신섭
    • 응용통계연구
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    • 제2권1호
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    • pp.18-34
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    • 1989
  • 서로 같은 분산을 가지며 정규분포를 따르는 4개의 처리평균의 대응비교에 관한 연구로서, 삼중 t-분포를 이용하여 동시포함 범위 확률값이 정확히 $1-\alpha$를 갖는 통계적 계산방법과 기법을 고찰하였다. 이 기법을 이용하여 처리사이의 표본 갯수를 변화시켜 대응되는 정확한 신뢰구간을 구하며 기존의 신뢰구간의 길이 비교, 실험적 오차 비, 효율성을 조사하였다.

Multiple Access Interference Rejection Code: LS Code

  • Roh, Dong-Wook;Kim, Dong-Ku
    • Journal of Communications and Networks
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    • 제5권1호
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    • pp.19-24
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    • 2003
  • A new code, LS code, was proposed for the IMT-2000 CDMA system. The code has special properties during a specific time interval: 1) perfect autocorrelation, and 2) perfect crosscorrelation. Perfect autocorrelation means maximum autocorrelation for zero time-offset and zero autocorrelation for all other times during a specific time interval. Moreover, perfect crosscorrelation means that the crosscorrelation has zero value during a certain time, you can remove all the MAI within that time. However, the detailed properties of LS code and its exact generation method have been previously unknown. Therefore, we investigate the LS code in regards to its exact generating method, properties, and performances in this paper.

Updated confidence intervals for the COVID-19 antibody retention rate in the Korean population

  • Kamruzzaman, Md.;Apio, Catherine;Park, Taesung
    • Genomics & Informatics
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    • 제18권4호
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    • pp.45.1-45.5
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    • 2020
  • With the ongoing rise of coronavirus disease 2019 (COVID-19) pandemic across the globe, interests in COVID-19 antibody testing, also known as a serology test has grown, as a way to measure how far the infection has spread in the population and to identify individuals who may be immune. Recently, many countries reported their population based antibody titer study results. South Korea recently reported their third antibody formation rate, where it divided the study between the general population and the young male youths in their early twenties. As previously stated, these simple point estimates may be misinterpreted without proper estimation of standard error and confidence intervals. In this article, we provide an updated 95% confidence intervals for COVID-19 antibody formation rate for the Korean population using asymptotic, exact and Bayesian statistical estimation methods. As before, we found that the Wald method gives the narrowest interval among all asymptotic methods whereas mid p-value gives the narrowest among all exact methods and Jeffrey's method gives the narrowest from Bayesian method. The most conservative 95% confidence interval estimation shows that as of 00:00 November 23, 2020, at least 69,524 people were infected but not confirmed. It also shows that more positive cases were found among the young male in their twenties (0.22%), three times that of the general public (0.051%). This thereby calls for the quarantine authorities' need to strengthen quarantine managements for the early twenties in order to find the hidden infected people in the population.

Interval을 이용한 Conditional Constraints의 Propagation 알고리듬 (A PROPAGATION ALGORITHM FOR INTERVAL-BASED CONDITIONAL CONSTRAINTS)

  • 김경택
    • 대한산업공학회지
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    • 제20권1호
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    • pp.133-146
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    • 1994
  • Conditional constraints are frequently used to represent relations. To use these conditional constraints, it is necessary to develop an appropriate logic in which these conditional constraints can be represented and manipulated. Nevertheless, there has been little research that addresses interval-based conditional constraints. The proposed approach addresses the use of conditional constraints involving intervals in constraint networks. Two algorithms are presented: (1) a propagation algorithm for an interval-based conditional constraint, which is similar to one for an exact-value conditional constraint; (2) a propagation algorithm for interval-based conditional constraints which satisfy some conditions. The former can be applied to any conditional constraint. However, with the former algorithm, conditional constraints are usually categorized into the cases that they cannot be propagated. After investigating several methods in which most conditional constraints can be propagated, we propose the latter algorithm under certain condition that usually results in smaller resulting design space comparing to the former.

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A modified estimating equation for a binary time varying covariate with an interval censored changing time

  • Kim, Yang-Jin
    • Communications for Statistical Applications and Methods
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    • 제23권4호
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    • pp.335-341
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    • 2016
  • Interval censored failure time data often occurs in an observational study where a subject is followed periodically. Instead of observing an exact failure time, two inspection times that include it are made available. Several methods have been suggested to analyze interval censored failure time data (Sun, 2006). In this article, we are concerned with a binary time-varying covariate whose changing time is interval censored. A modified estimating equation is proposed by extending the approach suggested in the presence of a missing covariate. Based on simulation results, the proposed method shows a better performance than other simple imputation methods. ACTG 181 dataset were analyzed as a real example.

Permutation P-values for Inter-rater Agreement Measures

  • Um, Yonghwan
    • 한국컴퓨터정보학회논문지
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    • 제20권12호
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    • pp.169-174
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    • 2015
  • Permutation p-values are provided for the agreement measures for multivariate interval data among many raters. Three agreement measures, Berry and Mielke's measure, Janson and Olsson's measure, and Um's measure are described and compared. Exact and resampling permutation methods are utilized to compute p-values and empirical quantile limits for three measures. Comparisons of p-values demonstrate that resampling permutation methods provide close approximations to exact p-values, and Berry and Mielke's measure and Um's measure show similar performance in terms of measuring agreement.

PERT 공식의 이론적 근거와 새로운 추정방법 (Theoretical Basis of PERT Formula and a New Estimation Method)

  • 김세헌;원유경;채경철
    • 대한산업공학회지
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    • 제15권2호
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    • pp.103-108
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    • 1989
  • PERT formulae for the mean and variance of activity time are near exact only over a short interval of the concentration parameter which is defined as the sum of the two shape parameters of the beta distribution. Aiming a better estimation of the mean and variance of activity time, we propose a method of subjectively estimating this concentration parameter via estimating the probability of completing the activity within a specified time interval.

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Aperiodicity conditions for polynomials with uncertain coefficient parameters

  • Mori, T.;Kokame, H.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.881-883
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    • 1989
  • Aperiodicity of interval polynomials is studied. Aperiodicity is normally defined as a property such that all the roots are simple and negative real, while interval polynomials are referred to as polynomials with coefficients lying within specified closed intervals on the real axis. Several conditions for aperiodicity, including an exact one, are derived. Comments on them are given in contrast to the work by Soh and Berger, who also considered the problem with a modified definition of aperiodicity.

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전력변횐기를 가지는 동기발전기의 특성 (Characteristics of Synchronous Generator with Power Static Converter)

  • 이승원;권영안
    • 대한전기학회논문지
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    • 제33권1호
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    • pp.1-8
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    • 1984
  • The system of synchronous generator with power static converter are analyzed in detail and the output characteristics of generator are computed by digital simulation. The power static converter is considered as 3-phase converter in which the interlude interval and the commutation interval repeats itself six times per cycle. The synchronous generator is considered as a direct-phase quantities model for a more exact study of the performance. As the numerical method for nonlinear differential equations of the system, the Runge -Kutta method is used.

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有限 母集團에서 베이지안 比推定 (Bayesian ratio estimation in finite populations)

  • 이석훈;박래현;최종석
    • 응용통계연구
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    • 제5권1호
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    • pp.9-17
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    • 1992
  • 본 논문은 표본조사론의 주된 연구 대상인 유한 모집단에서의 모수 추정 문제중에서 비추정 문제를 베이지안 방법으로 다루었다. 크기 N의 유한 모집단을 초모집단에서 뽑은 크기 N의 확률 표본으로 간주하고, 초 모집단 모수들의 사전분포를 비정보적인 것으로 가정하여 비(ratio)의 정확한(exact) 사후분포를 유도하였으며, 이를 바탕으로 비의 정확한 신뢰구간을 구해 특별한 조건 아래에서 제안된 Fieller의 방법등 기존의 방법들과 비교하여 보았다.

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