• Communications for Statistical Applications and Methods
• /
• v.7 no.3
• /
• pp.799-809
• /
• 2000

In this paper we propose a nonparametric one sided test for location parameters in p-variate(p$\geq$2) location translation model. The exact null distributions of test statistics are calculated by permutation principle in the case of relatively small sample sizes and the asymptotic distributions are also considered. The powers of various tests are compared through computer simulation and thep-values with real data are also suggested through example.

• Journal of Applied Reliability
• /
• v.5 no.1
• /
• pp.167-180
• /
• 2005

Design of a degradation test without replacement is considered based on tightened critical value to reduce the evaluation testing time. The sample size, number of inspections, and the critical values are determined to assure the same probability of acceptance when the testing time is reduced to some degree. Photo-diode balance of an optical pickup is analyzed as a case study.

• Journal of the Korean Data and Information Science Society
• /
• v.5 no.1
• /
• pp.11-20
• /
• 1994

In recent years, nonparametric kernel estimation of regresion function are abundant and widely applicable to many areas of statistics. Most of modern researches concerned with the fixed global bandwidth selection which can be used in the estimation of regression function with all the same value for all x. In this paper, we propose a method for selecting locally varing bandwidth based on bootstrap method in kernel estimation of fixed design regression. Performance of proposed bandwidth selection method for finite sample case is conducted via Monte Carlo simulation study.

• Journal of the Korean Data and Information Science Society
• /
• v.15 no.2
• /
• pp.347-353
• /
• 2004

We propose a simple nonparametric estimator of relative risk in the two sample case of the proportional hazards model for complete data. The asymptotic distribution of this estimator is derived using a functional equation. We obtain the asymptotic normality of the proposed estimator and compare with Begun's estimator by confidence interval through simulations.

• Proceedings of the Korea Society for Simulation Conference
• /
• 2000.11a
• /
• pp.6-10
• /
• 2000

In regression model we estimate the unknown parameters using various methods. There are the least squares method which is the most general, the least absolute deviation, the regression quantile and the asymmetric least squares method. In this paper, we will compare each others with two case: to begin with the theoretical comparison in the asymptotic sense, and then the practical comparison using Monte Carlo simulation for a small sample size.

• Journal of the Korean Data and Information Science Society
• /
• v.18 no.3
• /
• pp.793-801
• /
• 2007

For multiply Type-II censored samples from a half-triangle distribution, the maximum likelihood method does not admit explicit solutions. In this case, we propose some explicit estimators of the location parameter in the half-triangle distribution by the approximate maximum likelihood methods. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

• Journal of Power Electronics
• /
• v.2 no.4
• /
• pp.305-311
• /
• 2002

In this paper, two approaches for designing tracking controllers for a variable reluctance motor (VRM), namely the Lyapunov-based fuzzy approach and the classical approach, are compared. The nonlinear model of a VRM is first addressed. The two control schemes are introduced afterwards, and then applied to obtain tracking controllers. Simulation results of a sample case, to which the methods are applied, are also presented. Comparison of the methods based on the results obtained concludes the paper.

• Journal of the Korean Statistical Society
• /
• v.16 no.1
• /
• pp.37-44
• /
• 1987

A two-stage selection procedure is considered in the case of exponential populations with common known scale parameter. The proposed procedure is designed following the lines of Tamhane and Bechhofer(1977). The design constants to implement the procedure are provided. Monte Carlo results show that the proposed procedure performs better than the single procedure by Raghvachari and Starr (1970) in terms of the expected total sample size.

• Journal of Korean Society for Quality Management
• /
• v.12 no.1
• /
• pp.9-16
• /
• 1984

We study some estimation of the ${\theta}=P_r$(Y${\theta}$. We consider asymptotic property of estimators and maximum likelihood estimator is compared with unique minimum veriance unbiased estimator in moderate sample size.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04b
• /
• pp.331-333
• /
• 2004

본 연구는 Haplotype 데이터에서 나타나는 별개의 Haplotype의 수를 최소화하는 블록으로 분할하는 방법을 제안한다. Multi-population case인 Haplotype 데이터를 분석하기 위해 패턴의 개수를 최소한으로 줄이는 볼록 분할 방법은 전산학적인 최적해의 의미를 가지게 되며, 이와 더불어 생물학적인 의미를 가지는 블록 경계를 찾기 위해 ｜D'｜ 을 계산하고 LD를 분석하였다 분석된 LD는 블록 분할 알고리즘에서 블록 결정 함수로 사용하였으며, 이에 대한 검정은 X$^2$-test를 통해 이루어졌다. 많은 Sample로 구성된 Haplotype 데이터로부터 평균 패턴의 개수를 최소화하고 긴 블록 길이를 가지는 블록 분할의 결과를 얻었다.