• Journal of applied mathematics & informatics
• /
• 제10권1_2호
• /
• pp.111-118
• /
• 2002

We study the influence of observations on testing a linear hypothesis using single and multiple case-deletions. The change in the F-test statistic due to case-deletions is shown to be completely determined by two externally Studentized residuals. These residuals we used for investigating the outlyingness when there are linear constraints or not. An illustrative example is given. It shows the usefulness of case-deletions.

• Communications for Statistical Applications and Methods
• /
• 제10권3호
• /
• pp.1007-1015
• /
• 2003

In this paper we introduced a new score generating function for the rank dispersion function in a general linear model. Based on the new score function, we derived the null asymptotic theory of the rank-based hypothesis testing in a linear model. In essence we showed that several rank test statistics, which are primarily focused on our new score generating function and new dispersion function, are mainly distribution free and asymptotically converges to a chi-square distribution.

• Journal of the Korean Data and Information Science Society
• /
• 제15권3호
• /
• pp.543-554
• /
• 2004

In teaching statistics, the part which is very important but difficult to understand to the students is estimation and hypothesis testing. This paper introduces the developed program about estimation and hypothesis testing by using Excel Macro. This program will help learners to study and use a statistical inference conveniently, and to get a good learning effect.

• ETRI Journal
• /
• 제18권3호
• /
• pp.207-213
• /
• 1996

This paper proposes a new nonparametric test for testing the null hypothesis that the MRL is constant against the alternative hypothesis that the MRL is decreasing (increasing) for ramdomly censored data. The proposed test statistic is a L-statistic, and we use L-statistic theory to establish its asymptotic normality of the test statistic. We discuss the efficiency loss due to censoring and also calculate the asymptotic relative efficiencies of our test statistic with respect to the Chen, Hollander and Langberg's test for several alternatives.

• 분석과 대안
• /
• 제5권1호
• /
• pp.3-24
• /
• 2021

This paper introduces a multilevel item-response-theory (IRT) model as a unifying model for hypothesis testing using legislative voting data. This paper shows that a probit or logit model is a special type of multilevel IRT model. In particular, it is demonstrated that, when a probit or logit model is applied to multiple votes, it makes unrealistic assumptions and produces incorrect coefficient estimates. The advantages of a multilevel IRT model over a probit or logit model are illustrated with a Monte Carlo experiment and an example from the U.S. House. Finally, this paper provides a practical guide to fitting this model to legislative voting data.

• 대한안전경영과학회:학술대회논문집
• /
• 대한안전경영과학회 2012년 추계학술대회
• /
• pp.431-434
• /
• 2012

The paper reviews properties of hypothesis decision approaches using rejection region and significance probability. The study also presents the guidelines for quality practioners to implement most useful hypothesis testing techniques such as RR(Rejection Region) approach and P-Value approach.

• 한국컴퓨터정보학회논문지
• /
• 제21권4호
• /
• pp.115-121
• /
• 2016

The purpose of this paper is to study the influence of hypersensitiveness in accident reports and usefulness on admission of atomic power generation. By the result of study we can look forward to understanding obstacles and promotion factors in constructing atomic power plants. The results of hypothesis testing can be summarized as follows: First, the hypothesis that hypersensitiveness in accident reports has a plus effect on reliability is accepted. Secondly, the hypothesis that hypersensitiveness in accident reports has a plus effect on anxiety is accepted. Thirdly, the hypothesis that reliability has a plus effect on anxiety is accepted. Fourthly, the hypothesis that reliability has a minus effect on receptiveness is accepted. Fifthly, the hypothesis that anxiety has a minus effect on receptiveness is accepted. Sixthly, the hypothesis that usefulness has a minus effect on necessity is accepted. Seventhly, the hypothesis that usefulness has a plus effect on receptiveness is rejected. Eighthly, the hypothesis that necessity has a minus effect on receptiveness is accepted.

• Journal of the Korean Data and Information Science Society
• /
• 제22권5호
• /
• pp.1007-1016
• /
• 2011

This article deals with the problem of testing for the correlation coefficient in the bivariate normal distribution. We propose Bayesian hypothesis testing procedures for the bivariate normal correlation coefficient under the noninformative prior. The noninformative priors are usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the default Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factors under the reference priors. A simulation study and an example are provided.

• Journal of the Korean Data and Information Science Society
• /
• 제25권4호
• /
• pp.961-970
• /
• 2014

This article deals with the problem of testing the equality of the scale parameters of several inverted exponential distributions. We propose Bayesian hypothesis testing procedures for the equality of the scale parameters under the noninformative prior. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the default Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factors under the reference priors. Simulation study and an example are provided.

• Journal of the Korean Data and Information Science Society
• /
• 제19권4호
• /
• pp.1477-1489
• /
• 2008

This article deals with the problem of testing whether the effect size in paired study exists. We propose Bayesian hypothesis testing procedures for the effect size in paired study under the noninformative prior. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the objective Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factor under the reference prior. Simulation study and a real data example are provided.