• 제목/요약/키워드: statistical testing

검색결과 1,198건 처리시간 0.027초

Testing for a unit root in an AR(p) signal observed with MA(q) noise when the MA parameters are unknown

  • Jeong, Dong-bin;Sahadeb Sarkar
    • Journal of the Korean Statistical Society
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    • 제27권2호
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    • pp.165-187
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    • 1998
  • Shin and Sarkar (1993, 1994) studied the problem of testing for a unit root in an AR(p) signal observed with MA(q) noise when the MA parameters are known. In this paper we consider the case when the MA parameters are unknown and to be estimated. Test statistics are defined using unit root parameter estimates based on three different estimation methods of Hannan and Rissanen (1982), Kohn (1979) and Shin and Sarkar (1995). An AR(p) process contaminated by MA(q) noise is a .estricted ARMA model, for which Shin and Sarkar (1995) derived an easy-to-compute Newton- Raphson estimator The two-stage estimation p.ocedu.e of Hannan and Rissanen (1982) is used to compute initial parameter estimates in implementing the iterative estimation methods of both Shin and Sarkar (1995) and Kohn (1979). In a simulation study we compare the relative performance of these unit root tests with respect to both size and power for p=q=1.

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Selection of a Predictive Coverage Growth Function

  • Park, Joong-Yang;Lee, Gye-Min
    • Communications for Statistical Applications and Methods
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    • 제17권6호
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    • pp.909-916
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    • 2010
  • A trend in software reliability engineering is to take into account the coverage growth behavior during testing. A coverage growth function that represents the coverage growth behavior is an essential factor in software reliability models. When multiple competitive coverage growth functions are available, there is a need for a criterion to select the best coverage growth functions. This paper proposes a selection criterion based on the prediction error. The conditional coverage growth function is introduced for predicting future coverage growth. Then the sum of the squares of the prediction error is defined and used for selecting the best coverage growth function.

Modified information criterion for testing changes in generalized lambda distribution model based on confidence distribution

  • Ratnasingam, Suthakaran;Buzaianu, Elena;Ning, Wei
    • Communications for Statistical Applications and Methods
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    • 제29권3호
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    • pp.301-317
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    • 2022
  • In this paper, we propose a change point detection procedure based on the modified information criterion in a generalized lambda distribution (GLD) model. Simulations are conducted to obtain empirical critical values of the proposed test statistic. We have also conducted simulations to evaluate the performance of the proposed methods comparing to the log-likelihood method in terms of power, coverage probability, and confidence sets. Our results indicate that, under various conditions, the proposed method modified information criterion (MIC) approach shows good finite sample properties. Furthermore, we propose a new goodness-of-fit testing procedure based on the energy distance to evaluate the asymptotic null distribution of our test statistic. Two real data applications are provided to illustrate the use of the proposed method.

Estimation of high-dimensional sparse cross correlation matrix

  • Yin, Cao;Kwangok, Seo;Soohyun, Ahn;Johan, Lim
    • Communications for Statistical Applications and Methods
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    • 제29권6호
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    • pp.655-664
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    • 2022
  • On the motivation by an integrative study of multi-omics data, we are interested in estimating the structure of the sparse cross correlation matrix of two high-dimensional random vectors. We rewrite the problem as a multiple testing problem and propose a new method to estimate the sparse structure of the cross correlation matrix. To do so, we test the correlation coefficients simultaneously and threshold the correlation coefficients by controlling FRD at a predetermined level α. Further, we apply the proposed method and an alternative adaptive thresholding procedure by Cai and Liu (2016) to the integrative analysis of the protein expression data (X) and the mRNA expression data (Y) in TCGA breast cancer cohort. By varying the FDR level α, we show that the new procedure is consistently more efficient in estimating the sparse structure of cross correlation matrix than the alternative one.

시장여건의 변화가 시장통합의 검정에 미치는 영향 (Impact of the Change in Market Conditions on a Test for Market Cointegration)

  • 김태호
    • 응용통계연구
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    • 제24권1호
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    • pp.103-114
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    • 2011
  • 시장 간 통합을 검정한 연구들은 시장변수들 자체의 연관성으로만 분석을 한정시키는 경향이 있어 경우에 따라 시장 변동체계의 전반적 현실을 파악하는데 한계가 있다. 주식시장의 경우 위기를 겪은 나라와 그렇지 않은 나라와는 일정 기간 주가변동 성향이 다르므로 이들의 동적 연관성에 대한 연구에 선행연구들과 같이 주가만 고려할 경우 주식시장에 영향을 미친 변수들을 제외함에 따른 통계적 편의가 존재하게 된다. 본 연구에서는 우리나라와 주요 투자국의 주식시장 간 통계적 통합의 검정모형에 각국의 주가 외에 국내 외환 및 금융시장을 동시에 포함시켜 보았다. 분석 결과 위기에 따른 변화의 영향이 계속되는 기간에는 이들이 주식시장의 통합에 유의한 영향을 미치는 것으로 추정되어 주식시장만 고려할 경우 모형의 설정오류 가능성이 존재함을 입증한다.

유전자집합분석에서 순열검정의 대안 (A study on alternatives to the permutation test in gene-set analysis)

  • 이선호
    • 응용통계연구
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    • 제31권2호
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    • pp.241-251
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    • 2018
  • 마이크로어레이 자료의 유전자집합분석은 개별유전자분석에 비해 검정력도 높일 수 있고 결과 해석이 쉬워서 이에 대한 연구가 활발히 진행되어 왔다. 표현형에 따라 유의한 차이를 보이는 유전자집합의 검색은 검정통계량들이 유도된 배경에 따라 결과에 차이를 보이지만 대체적으로 t-통계량의 제곱합을 이용한 순열검정이 제일 무난한 방법으로 여겨진다. 그러나 유전자집합분석에서 다중검정은 필수이고 많은 집합들의 유의성에 변별력을 주기 위해서는 순열검정에서 생성하는 치환표본의 수가 많이 필요하고 시간이 오래 걸린다는 문제점이 있다. 순열검정을 대신할 모수적 방법들을 검토한 결과, 적률을 이용한 근사가 각 집합의 유의확률 계산시간도 훨씬 단축하며 순열검정에서 구한 유의확률과 크기와 순위가 거의 일치함을 확인하였다.

A Comparison of Testing Methods for Equality of Survival Distributions with Interval Censored Data

  • Kim, Soo-Hwan;Lee, Shin-Jae;Lee, Jae-Won
    • 응용통계연구
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    • 제25권3호
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    • pp.423-434
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    • 2012
  • A two-sample test for equality of survival distribution is one of the important issues in survival analysis, especially for clinical and epidemiological research. With interval censored data, some testing methods have been developed. This study introduces some testing methods and compares them under various situations through simulation study. Based on simulation result, it provides some useful information on choosing the most appropriate testing method in a given situation.

컴퓨터제어식 5축 자동초음파탐상장치의 개발 (A Development of Computer Controlled 5 Axis Ultrasonic Testing System)

  • 김영수;김재곤;박종채;김낙인
    • 비파괴검사학회지
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    • 제10권2호
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    • pp.32-37
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    • 1990
  • A computer controlled 5 axis ultrasonic testing system is developed in order to detect flaws in special parts with complex shape. The various kinds of ultrasonic test can be performed automatically using computer program which was developed by DHI(Daewoo Heavy Industries Ltd.). By use of this computer program, the detector location can be programed and the amplitude signal of echo can be processed digitally. The test results can be plotted graphically on a high resolution display monitor in real time base. The test data can be also saved in magnetic memory devices(HDD or FDD) as well as in the form of hard copy through color printer. The computer software contains c- scan, c+a scan processing programs as well as statistical analysis for test data.

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그룹 검사를 이용한 효율적인 혈액 검사 절차에 대한 연구 (An efficient blood testing procedurer by using group testing)

  • 양원석;채경철
    • 응용통계연구
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    • 제9권1호
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    • pp.17-29
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    • 1996
  • 혈액 검사를 통해 어떤 질병의 감염 여부를 확인하려 한다. g명의 혈액을 검사한다고 하자. g명을 개별적으로 검사하면 g번의 검사가 필요하다. 그러나 g명의 혈액을 섞어서 검사하는 방법도 가능하다. 이처럼 여러 개를 한꺼번에 검사하는 방법을 그룹 검사라고 한다. 본 논문에서는, 질병률이 알려진 경우에 대한 그룹 검사 방법 중에서 계층적 도프만 절차를 이용한다. 그리고 검사의 종속성 때문에 발생하는 단축효고를 고려한다. 이를 통해 개별 검사보다 매우 효율적인 혈액 검사 절차를 제안하겠다. 아울러 실제 상황에 쉽고 간단하게 적용할 수 있는 실용적인 방법을 제안한다.

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Bayesian Tests for Independence and Symmetry in Freund's Bivariate Exponential Model

  • Cho, Jang-Sik;Kim, Dal-Ho;Kang, Sang-Gil
    • Journal of the Korean Data and Information Science Society
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    • 제10권1호
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    • pp.135-146
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    • 1999
  • In this paper, we consider the Bayesian hypotheses testing for independence and symmetry in Freund's bivariate exponential model. In Bayesian testing problem, we use the noninformative priors for parameters which are improper and are defined only up to arbitrary constants. And we use the recently proposed hypotheses testing criterion called the intrinsic Bayes factor. Also we derive the arithmetic and median intrinsic Bayes factors and use these results to analyze some data sets.

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