• Title/Summary/Keyword: 비모수통계

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A Simpler Structured Nonparametric Detector with Reference Observations for Random Signals in Multiplicative Noise (적산성 잡음에서 참고 관측량을 쓰는 간단한 구조의 비모수 확률 신호 검파기)

  • Park, Ae-Kyung;Song, Iick-Ho;Bae, Jin-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.4C
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    • pp.379-383
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    • 2003
  • A simpler nonparametric detector test statistic based on reference observation in addition to the rank statistics of regular observations is suggested in this letter. Using reference observations instead of sign statistics helps us a simpler detector structure especially for random signals buried in multiplicative noise.

비모수 퍼지회귀모형

  • Choe, Seung-Hoe;Kim, Hae-Gyeong;Seong, Na-Yeong
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.05a
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    • pp.199-201
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    • 2003
  • 본 연구에서는 크리스프자료(crisp data)인 독립변수와 퍼지자료(fuzzy data)인 종속변수 사이의 관계가 특정한 함수로 표현되지 않는 비모수 퍼지회귀모형을 분석하기위하여 퍼지수 순위와 퍼지순위변환방법을 소개하고, 모의실험을 통하여 퍼지순위변환방법의 효율성을 조사한다.

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Nonparametric Bayesian Statistical Models in Biomedical Research (생물/보건/의학 연구를 위한 비모수 베이지안 통계모형)

  • Noh, Heesang;Park, Jinsu;Sim, Gyuseok;Yu, Jae-Eun;Chung, Yeonseung
    • The Korean Journal of Applied Statistics
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    • v.27 no.6
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    • pp.867-889
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    • 2014
  • Nonparametric Bayesian (np Bayes) statistical models are popularly used in a variety of research areas because of their flexibility and computational convenience. This paper reviews the np Bayes models focusing on biomedical research applications. We review key probability models for np Bayes inference while illustrating how each of the models is used to answer different types of research questions using biomedical examples. The examples are chosen to highlight the problems that are challenging for standard parametric inference but can be solved using nonparametric inference. We discuss np Bayes inference in four topics: (1) density estimation, (2) clustering, (3) random effects distribution, and (4) regression.

Nonparametric Method Using an Alignment Method in a Randomized Block Design with Replications (반복이 있는 랜덤화 블록 계획법에서 정렬 방법을 이용한 비모수 검정법)

  • Lee, Min-Hee;Kim, Dong-Jae
    • Communications for Statistical Applications and Methods
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    • v.19 no.1
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    • pp.77-84
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    • 2012
  • Mack and Skillings (1980) proposed a typical nonparametric method in a randomized block design with replications. However, this method may lose information because of the use of average observations instead of individual observations. In this paper, we proposed a nonparametric method that employed an aligned method suggested by Hodges and Lehmann (1962) under a randomized block design with replications. In addition, the comparative results of a Monte Carlo power study are presented.

비모수 회귀모형의 차분에 기저한 분산의 추정에 대한 고찰

  • 김종태
    • Communications for Statistical Applications and Methods
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    • v.5 no.1
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    • pp.121-131
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    • 1998
  • 이 논문의 목적은 비모수 회귀모형에 있어서의 오차의 분산을 추정하는 방법들 중 차분에 기저한 방법 (difference-based methods)을 이용한 기존의 추정량들을 비교 분석하는데 있다. 특히 점근적인 최적 이차 차분에 기저한 Hall과 Kay, Titterington(1990)의 HKT 추정량에 대한 그들의 추정량에 대한 문제점들을 제시하고, HKT추정량과, GSJS추정량, Rice추정량에 대하여 모의 실험을 이용하여 모수에 대한 수렴 속도를 비교 분석 하였다. 또한 GSJS 추정량에 대한 일치성과 수렴 속도를 보였다.

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Nonparametric Multiple Comparison Procedure Using Alignment Method Under Randomized Block Design (랜덤화 블록 모형에서 정렬 방법을 이용한 비모수 다중비교법)

  • Han, Ji-Ung;Kim, Dong-Jae
    • The Korean Journal of Applied Statistics
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    • v.19 no.3
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    • pp.555-564
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    • 2006
  • Friedman rank-sum multiple comparison procedure is often applied to nonparametric multiple comparison method under randomized block design. Since this method does not use between-block information, we propose, in this paper, nonparametric multiple comparison procedures employing aligned method suggested by Hedges and Lehmann(1962) under randomized block design. The proposed procedure and Friedman procedure are compared by Monte Carlo simulation study.

Nonparametric procedures based on aligned method and placement for ordered alternatives in randomized block design (랜덤화 블록 모형에서 정렬방법과 위치를 이용한 순서형 대립가설에 대한 비모수 검정법)

  • Kim, Hyosook;Kim, Dongjae
    • The Korean Journal of Applied Statistics
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    • v.29 no.4
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    • pp.707-717
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    • 2016
  • Nonparametric procedures in a randomized block design was proposed by Friedman (1937) as a general alternative as well as suggested as a test for ordered alternatives by Page (1963). These methods are used for the rank of treatments in each block. In this paper, we proposed nonparametric procedures using aligned method proposed by Hodges and Lehmann (1962) to reduce among block information and based on placement suggested by Kim (1999) in a randomized block design. We also perform a Monte Carlo study to compare the empirical powers of the proposed procedures and established method.

A Study on the Comovement of Industry Default (산업 부도의 동조화 현상 연구)

  • Jeon, Haehyun;Kim, So-Yeun;Kim, Changki
    • The Korean Journal of Applied Statistics
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    • v.28 no.6
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    • pp.1289-1312
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    • 2015
  • This paper studies the comovement of industry defaults among listed companies. Rank correlation coefficients of Spearman's ${\rho}$ and Kendall's ${\tau}$ measure the concordance of default. These non-parametric coefficients do not require distributional assumptions and are easily used even with less data and extreme values. This study predicts a future financial crisis by looking at the comovement of industry defaults. We expect our analyses will aid market participants (including company executives) in making investment or risk management decisions.

Nonparametric method using aligned method and linear placement statistics in randomized block design with replications (반복이 있는 랜덤화블록 모형에서 정렬방법과 선형위치통계량을 이용한 비모수 검정법)

  • Jeon, Soyoung;Kim, Dongjae
    • The Korean Journal of Applied Statistics
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    • v.30 no.2
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    • pp.281-290
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    • 2017
  • Mack and Skillings (1980) proposed a nonparametric method in a randomized block design with replications. This method employs the mean of observations instead of each observation. However, it has the inherent disadvantage that there may be a loss of information. In this paper, we proposed a nonparametric method that employees an aligned method and linear placement statistics to supplement its weakness. A Monte-Carlo study is performed to compare the power of the proposed method with previous methods.

붓스트랩 표준편차 추정량으로 표준화한 U-통계량을 이용한 비모수적 검정법

  • 이기훈
    • Communications for Statistical Applications and Methods
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    • v.2 no.2
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    • pp.221-226
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    • 1995
  • 본 연구는 붓스트랩에 의한 U-통계량의 분산추정방법을 제안하고, 추정량의 일치성을 증명하였다. 결과적으로 붓스트랩 추정량으로 표준화한 U-통계량의 값이 표준정규분포에 근사함을 보였다. 또한 실제적인 비모수검정에서 이를 응용하여 검정력과 특성을 연구하였다.

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