• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.225-229
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• 2007

We propose some properties of fuzzy p-value and fuzzy significance level to the fuzzy hypotheses testing for vague response data with reflected correlation in survey research, Appling the principle of agreement index, we suggest the methods for fuzzy hypothesis testing by fuzzy rejection region.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.614-618
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• 2007

We propose some properties of fuzzy p-value and fuzzy significance level to the fuzzy hypotheses testing for vague response data with reflected correlation in survey research, Appling the principle of agreement index, we suggest the methods for fuzzy hypothesis testing by fuzzy rejection region.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.153-156
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• 2006

We propose some properties of fuzzy p-value and fuzzy significance level to the test statistics for the fuzzy hypotheses testing. Appling the principle of agreement index, we suggest two method for fuzzy hypothesis testing by fuzzy rejection region and fuzzy p-value with fuzzy hypothesis to separately ${\alpha}-level$.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.255-258
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• 2000

We prepose fuzzy statistical test of fuzzy hypotheses membership function with fuzzy number data. Finding the maximum grade of the meeting point for fuzzy hypotheses membership function and membership function of confidence interval. By the maximum grade, we obtain the results to acceptance or reject for the test of fuzzy hypotheses.

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.327-333
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• 2006

In this paper, we consider the Bayesian hypotheses testing for independence in 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 fractional Bayes factor. Also we give some numerical results to illustrate our results.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.425-428
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• 2012

We propose some properties for fuzzy hypotheses testing by the principle of the rate of internal division on delta-levels. By the rate of internal division, we show that the acceptance and rejection degree for fuzzy the fuzzy hypotheses and reduce the spread of the fuzzy variance with average of the center and left or right spread of fuzzy number data.

• Korean Journal of Child Studies
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• v.22 no.4
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• pp.331-341
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• 2001

This study is to investigate whether young Korean children have understanding for testing hypothesis. Questions explored are; First, do children have notions of testing hypothesis? Or, do they just produce an effect? Second, choosing between conflicting hypotheses, can children distinguish between experiments that would produce conclusive and inconclusive evidence? For this study, 15 first grade and 15 second grade children in elementary school located in Kyunggi area near Seoul participated. Data collection and analysis were based on interviews with children for two weeks. Children were presented two conflicted hypotheses to decide which one is correct through conclusive evidence and inconclusive evidence in the interview. The results showed that children(1st: 93.3%, 2nd: 81.3%) of each grade can distinguish between hypothesis and evidence to do testing hypothesis, and distinguish between conclusive and inconclusive evidence. In conclusion, most young children have understanding of testing hypothesis based on their familiar experiences, so it was possible for them to differentiate hypothesis from evidence in certain situations.

• Communications for Statistical Applications and Methods
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• v.3 no.3
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• pp.25-30
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• 1996

In discriminant analysis the procedures commonly used to estimate the dimensionality involve testing a sequence of dimensionality hypotheses. There is a problem with the size of the test since dimensionality hypotheses are tested sequentially and thus they are actually conditional tests. The focus of this paper is to investigate in asymptotic sense what happens to the sequential testing procedure if the assumption of normality does not hold.

• Bulletin of the Korean Mathematical Society
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• v.47 no.5
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• pp.889-905
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• 2010

In this paper, a distribution free approach to the parameter estimation of a simple bilinear model with periodic coefficients is presented. The proposed method relies on minimum distance estimator based on the autocovariances of the squared process. Consistency and asymptotic normality of the estimator, as well as hypotheses testing, are derived. Numerical experiments on simulated data sets are presented to highlight the theoretical results.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.451-460
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• 2008

This paper reviews nonparametric statistics by Neyman-Pearson test and Fisher test. Nonparametric statistics deal with the small sample with distribution-free assumption in multi-product and small-volume production. Two tests for various nonparametric statistic methods such as sign test, Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Mood test, Friedman test and run test are also presented with the steps for testing hypotheses and test of significance.