• Communications for Statistical Applications and Methods
• /
• v.3 no.3
• /
• pp.39-46
• /
• 1996

Most of existing nonparametric test statistics are based on the residuals which are obtained by regressing the data to a parametric model. In this paper we compare power of goodness-of-fit test statistics for testing the (null)parametric model versus the (alternative) nonparametric model.

• The Korean Journal of Applied Statistics
• /
• v.2 no.2
• /
• pp.1-8
• /
• 1989

The survey results about curriculum of statistics department in Korea has been summarized. Because of the scientific speciality, curriculums of statistics have different forms depending on universities. So summarization of curriculums will be helpfull for the case of renewal of the curriculum or organizing the curriculum in the new statistics department.

• Communications of the Korean Mathematical Society
• /
• v.25 no.3
• /
• pp.485-489
• /
• 2010

A family of continuous probability distribution has been characterized through the difference of two conditional expectations, conditioned on a non-adjacent record statistic. Also, a result based on the unconditional expectation and a conditional expectation is used to characterize a family of distributions. Further, some of its deductions are also discussed.

• Journal of Korean Society for Quality Management
• /
• v.17 no.2
• /
• pp.93-100
• /
• 1989

Nonlinear rank statistics for the simple tree alternatives problem are considered. Pitman efficiencies between several procedures are studied. A new maximin procedure is suggested and shown to have good efficiency properties. Additionally, it is desirable to terminate the experiment early comparing well known rank statistics or multiple comparison test statistics.

• The Korean Journal of Applied Statistics
• /
• v.25 no.2
• /
• pp.321-330
• /
• 2012

In this paper we study some basic statistics in quantile regression. In particular, we investigate the residual, goodness-of-fit statistic and the effect of one or few observations on estimates of regression coefficients. In addition, we compare the proposed goodness-of-fit statistic with the statistic considered by Koenker and Machado (1999). An illustrative example based on real data sets is given to see the numerical performance of the proposed basic statistics.

• Communications for Statistical Applications and Methods
• /
• v.22 no.1
• /
• pp.81-93
• /
• 2015

Validity of the stationary bootstrap of Politis and Romano (1994) is proved for U-statistics under strong mixing. Weak and strong consistencies are established for the stationary bootstrap of U-statistics. The theory is applied to a symmetry test which is a U-statistic regarding a kernel density estimator. The theory enables the bootstrap confidence intervals of the means of the U-statistics. A Monte-Carlo experiment for bootstrap confidence intervals confirms the asymptotic theory.

• Journal of the Chungcheong Mathematical Society
• /
• v.29 no.3
• /
• pp.385-396
• /
• 2016

Characterizations of probability distributions by different regression conditions on generalized order statistics has attracted the attention of many researchers. We present here, characterization of Pareto and Weibull distributions based on the conditional expectation of generalized order statistics extending the characterization results reported by Jin and Lee (2014). We also present a characterization of the power function distribution based on the conditional expectation of lower generalized order statistics.

• The Korean Journal of Applied Statistics
• /
• v.37 no.1
• /
• pp.49-59
• /
• 2024

The popularity of data science, influenced by the trends from the United States around 2010, has significantly impacted the education of various statistics departments at domestic universities. However, it is challenging to find research papers in domestic academic journals that address the efficient teaching of data science topics in relation to computing environment. This article will discuss and propose the establishment of a suitable computing infrastructure for the education and research in statistics and data science departments in domestic universities.

• The Korean Journal of Applied Statistics
• /
• v.28 no.2
• /
• pp.361-369
• /
• 2015

A general linear mixed-effects model is often used to analyze repeated measurement experiment data of a continuous response variable. However, a general linear mixed-effects model can give improper analysis results when simultaneously detecting heteroscedasticity and the non-normality of population distribution. To achieve a more robust estimation, we used a heavy-tailed linear mixed-effects model for a more exact and reliable analysis conclusion than a general linear mixed-effects model. We also provide reliability analysis results for further research.

• Journal of the Korean Data and Information Science Society
• /
• v.14 no.4
• /
• pp.1031-1044
• /
• 2003

In this paper, we establish some recurrence relations of the moments, product moments, percentage points, and modes of order statistics from the transformed exponential distribution.