• Bulletin of the Korean Space Science Society
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• 2004.10b
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• pp.57-57
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• 2004

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.815-816
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• 2011

• Journal of Korean Society for Quality Management
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• v.17 no.2
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• pp.70-80
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• 1989

A nonparametric test for testing the parallelism of regression lines against ordered alternatives is proposed. The proposed test statistic is based on a linear combination of robust slope estimators. It is a modified version of the Adichie's test statistics based on scores. A snail-sample Monte Carlo study shows that the proposed test is compatible with the Adichie's test.

• Communications for Statistical Applications and Methods
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• v.14 no.2
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• pp.443-457
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• 2007

This paper deals with the problem of testing the existence of change in mean and estimating the change-point using nonparametric bootstrap technique. A test statistic using Gombay and Horvath (1990)'s functional form is applied to derive a test statistic and nonparametric change-point estimator with bootstrapping idea. Achieved significance level of the test is calculated for the proposed test to show the evidence against the null hypothesis. MSE and percentiles of the bootstrap change-point estimators are given to show the distribution of the proposed estimator in simulation.

• Bulletin of the Korean Space Science Society
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• 2006.10a
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• pp.127-127
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• 2006

• Journal of Korean Society for Quality Management
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• v.27 no.2
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• pp.143-151
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• 1999

In this thesis, a new test statistic is proposed for testing exponentiality against New Better than Used (NBU) alternatives. Our test statistic, which is based on a quadratic function of the order statistics from the sample, is readily applied in the case of small sample. Also, Our test statistic is more simple than the test statistic of Hollander and Proschan(1972).

• Journal of the Korean Statistical Society
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• v.27 no.1
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• pp.11-23
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• 1998

A Bayes criterion for testing the equality of covariance matrices of two multivariate normal distributions is proposed and studied. Development of the criterion invloves calculation of Bayes factor using the imaginary sample method introduced by Spiegelhalter and Smith (1982). The criterion is designed to develop a Bayesian test criterion, so that it provides an alternative test criterion to those based upon asymptotic sampling theory (such as Box's M test criterion). For the constructed criterion, numerical studies demonstrate routine application and give comparisons with the traditional test criteria.

• Fire Protection Technology
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• s.14
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• pp.5-12
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• 1993

This report is explained about test results of carbon dioxide extinguiching system components and pack-age type system (Kits) for automatic fire extinguishing system. A carbon dioxide system may be used to protect one or more hazards or hazards by menas of directional valves. Package system shall be installed to protect hazards within the limitations. The testing program was progressed by three items, external oppearance test, performance test and Total Flooding Fire Extinguishing System test. The object of this report is present the problem which apperar from the analysis of test results.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.829-831
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• 1997

We investigated configuration plan and future expectation of the power distribution test center. The example of foreign country's test center was analyzed, and the required test facilities, test line, and power source for the operation of our test center were proposed.

• Journal of the Korean Data and Information Science Society
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• v.21 no.2
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• pp.291-296
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• 2010

In this paper, we consider a versatile test based on percentile tests. The versatile test may be useful when the underlying distributions are unknown or quite different types. We consider two kinds of combining functions for the percentile statistics, the quadratic and summing forms and obtain the limiting distributions under the null hypothesis. Then we illustrate our procedure with an example. Finally we discuss some interesting features of the test as concluding remarks.