• Title/Summary/Keyword: 검정

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Nonparametric Approaches of Analyzing Randomly Incomplete Ranking Data (임의의 불완전 순위자료 분석을 위한 비모수적 방법)

  • 임동훈
    • The Korean Journal of Applied Statistics
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    • v.13 no.1
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    • pp.45-53
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    • 2000
  • 본 논문에서는 모든 판정자(judge)들이 모든 객체(object)들에 대해 순위를 부여할 수 없는 경우에 얻어지는 불완전 순위자료에서 판정자들의 처리 효과에 대한 유의성을 검정하는데 관심이 있다. 이를 위해 불완전 순위자료를 완전자료로 바꾸는 알고리즘을 제안하고 알고리즘에 의해 얻어진 완전 순위자료에 Friedman 검정법을 적용하고자 한다. 제안된 검정법은 결측 객체에 순위를 부여하는데 있어서 완전순위를 갖는 판정자들의 정보를 이용함으로서 효율적이며 검정을 시행하는데 기존의 Friedman 통계량에 대한 분포표를 사용할 수 있어 간편하다. 그리고 몬테칼로 모의실험을 통하여 제안된 검정법과 기존의 평균 순위법, 최대/최소 Friedman 검정법과 검정력을 비교하였다.

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Weighted log rank test for late differences (후기 차이 검출을 위한 가중 로그 순위 검정)

  • Gyu Jin Jeong;Sang Gue Park
    • The Korean Journal of Applied Statistics
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    • v.7 no.2
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    • pp.79-88
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    • 1994
  • Weighted log rank test is a widely applicable test when one is interested in detecting the differences between two groups. In man clinical trials it is common to see no differences in early experiments and does show significant differences later. We propose new weighted log rank test and illustrate it through an example. We also examine the empirical powers and show that the proposed test is more sensitive to detect late differences.

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Parallelism Test of Slope in Simple Linear Regression Models (회귀모형의 기울기에 대한 품행성 검정)

  • Park, Hyun-Wook;Kim, Dong-Jae
    • Communications for Statistical Applications and Methods
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    • v.16 no.1
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    • pp.75-83
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    • 2009
  • Parallelism tests are proposed for slope in the simple linear regression models. In this paper, we suggest the parametric test using HSD testing method (Tukey,1953) and distribution-free test using Kruskal-wallis (1952) for more than three slopes. Monte Carlo simulation study is adapted to compare the power of the proposed methods with Wilks' Lambda multivariate procedure.

Comparing the performance of likelihood ratio test and F-test for gamma generalized linear models (감마 일반화 선형 모형에서의 가능도비 검정과 F-검정 비교연구)

  • Jo, Seongil;Han, Jeongseop;Lee, Woojoo
    • The Korean Journal of Applied Statistics
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    • v.31 no.4
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    • pp.475-484
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    • 2018
  • Gamma generalized linear models are useful for non-negative and skewed responses. However, these models have received less attention than Poisson and binomial generalized linear models. In particular, hypothesis testing for the significance of regression coefficients has not been thoroughly studied. In this paper we assess the performance of various test statistics for gamma generalized linear models based on numerical studies. Our results show that the likelihood ratio test and F-type test are generally recommended and that the partial deviance test should be avoided in practice.

A Test of the Multivariate Normality Based on Likelihood Functions (가능도 함수를 기초로 한 다변량 정규성 검정)

  • Yeo, In-Kwon
    • The Korean Journal of Applied Statistics
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    • v.15 no.2
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    • pp.223-232
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    • 2002
  • The present paper develops a test of the multivariate normality based on nonlinear transformations and the likelihood function. For checking the normality, we test the shape parameter which indexes the family of transformations. A score test and a parametric bootstrap test are used to evaluate the discrepancy between the data and a multivariate normal distribution. In order to compare the performance of our test with the existing tests, a simulation study was carried out for several situations where nuisance parameters have to be estimated. The results showed that the proposed method is superior to the existing methods.

Locally Powerful Unit-Root Test (국소적 강력 단위근 검정)

  • Choi, Bo-Seung;Woo, Jin-Uk;Park, You-Sung
    • Communications for Statistical Applications and Methods
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    • v.15 no.4
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    • pp.531-542
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    • 2008
  • The unit root test is the major tool for determining whether we use differencing or detrending to eliminate the trend from time series data. Dickey-Fuller test (Dickey and Fuller, 1979) has the low power of test when the sample size is small or the true coefficient of AR(1) process is almost unit root and the Bayesian unit root test has complicated testing procedure. We propose a new unit root testing procedure, which mixed Bayesian approach with the traditional testing procedure. Using simulation studies, our approach showed locally higher powers than Dickey-Fuller test when the sample size is small or the time series has almost unit root and simpler procedure than Bayesian unit root test procedure. Proposed testing procedure can be applied to the time series data that are not observed as process with unit root.

Effect of complex sample design on Pearson test statistic for homogeneity (복합표본자료에서 동질성검정을 위한 피어슨 검정통계량의 효과)

  • Heo, Sun-Yeong;Chung, Young-Ae
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.4
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    • pp.757-764
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    • 2012
  • This research is for comparison of test statistics for homogeneity when the data is collected based on complex sample design. The survey data based on complex sample design does not satisfy the condition of independency which is required for the standard Pearson multinomial-based chi-squared test. Today, lots of data sets ara collected by complex sample designs, but the tests for categorical data are conducted using the standard Pearson chi-squared test. In this study, we compared the performance of three test statistics for homogeneity between two populations using data from the 2009 customer satisfaction evaluation survey to the service from Gyeongsangnam-do regional offices of education: the standard Pearson test, the unbiasedWald test, and the Pearsontype test with survey-based point estimates. Through empirical analyses, we fist showed that the standard Pearson test inflates the values of test statistics very much and the results are not reliable. Second, in the comparison of Wald test and Pearson-type test, we find that the test results are affected by the number of categories, the mean and standard deviation of the eigenvalues of design matrix.

Quality Characteristics of Tofu Added with Black Soybean Hull Powder (검정콩 종피 첨가 제조한 두부의 품질특성)

  • Kim, Jean;Jeon, Jeong-Ryae
    • Journal of the Korean Society of Food Culture
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    • v.20 no.6
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    • pp.633-637
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    • 2005
  • The effects of adding hull powders of black soybean on quality characteristics of tobu were studied. Proximate composition of the black soybean hull powders was crude ash, crude protein, crude fat, and carbohydrate at 2.60, 11.35, 2.18, and 73.97%, respectively. The addition of 5% black soybean hull powder decreased the production of whey and consequently increased the yield of tobu. Texture properties of evaluation hardness, adhesiveness, chewiness were the best in tobu which was made with 5% black soybean hull powders. Sensory evaluation showed texture, firmness were not significantly different among tobu with yellow soybean, black soybean, and added to 0.5% black soybean hull powders. At the beginning of the period of storage, there were not differences of microbial cell count as increasing black soybean hull powders, but observed after passing 5 days. The results of total microbial cell count showed that adding 5% black soybean hull powders in processing tobu extend storage time.

Tests for Incomplete Paired Data (불완전한 짝자료에 대한 검정법)

  • 이승묵;박진경;박태성
    • The Korean Journal of Applied Statistics
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    • v.12 no.2
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    • pp.415-432
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    • 1999
  • 짝자료(paired data)에서 결측값이 발생했을 때에 이 자료를 처리할 수 있는 여러통계검정 방법들을 고찰해보았다. 결측값들을 어떻게 처리하는 지에 따라서 다섯 가지 방법으로 분류해 보았고, 이 방법들이 짝 t-검정에 미치는 효과를 모의실험을 통해 비교해 보았다. 결측값들에 대한 세 종류의 메카니즘을 고려하여 검정크기와 검정력을 구하였다.

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시계열모형에서 계절성에 대한 검정통계량들의 비교

  • 이성덕;윤여창;김인규;이철영
    • Communications for Statistical Applications and Methods
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    • v.5 no.1
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    • pp.43-53
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    • 1998
  • 본 연구에서는 승법 시계열모형에 있어서 계절성 존재에 대한 대표본 검정통계량으로 서 Wald, 우도비, Rao 통계량을 제안했다. 그리고 세 통계량의 극한분포를 유도하였다. 모의실험을 통하여 세 검정통계량의 경험적 유의수준과 극한분포를 구하고, 세 검정통계량의 검정력을 비교하였다.

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