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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Korean Journal of Applied Statistics
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Journal DOI :
The Korean Statistical Society
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Volume & Issues
Volume 11, Issue 2 - Sep 1998
Volume 11, Issue 1 - Mar 1998
Selecting the target year
On the practical use of electronic text for statistics education
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 5~12
The study for the applications of the measurement system assessment in statistical process control
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 13~28
Corrent measurement system assessment is crucial in helping improve process or quality. In this article, we would like to apply several methods of measurement system assessment in statistical process control. Specifically, focus is on accuracy, precision (both repeatability and reproducibility included), and stability of the measurement process.
The current status and the improvable directions of the farm household economy survey
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 29~39
The Farm Household Economy Survey (FHES) is carried out by the Ministry of Agriculture and Forestry every year. In this paper, we reveiwed the current status of the FHES and assessed the precision of the survey results. Finally we proposed some recommendations for improving the precision and presented the improvable directions of FHES with some feasible solutions.
How to prepare a manuscript for Korean Journal of Applied Statistics with Hangul LATEX
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 41~51
Effective September, 1997, papers submitted for publication to the Korean Journal of Applied Statistics should be prepared by Hangul-LATEX. In this article we explain how to utilize Hangul LATEX and an accompanying style file KJAS.STY.
Boostrap confidence interval for mean time between failures of a repairable system
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 53~64
Recently, it is of great interest among engineers and reliability scientists to consider a statistical model to describe the failure times of various types of repairable systems. The main subject we deal with in this paper is the power law process which is proved to be a useful model to describe the reliability growth of the repairable system. In particular, we derive the bootstrap confidence intervals of the mean time between two successive failures of a repairable system using the time truncated data. We also compare our bootstrap confindence intervals with Crow's (1982) confidence interval.
Diagnosing the stability for the model of a system of equations
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 65~81
Simultaneous equation models, increasingly used in many detailed analyses, tend to get larger and more sophisticated to describe the structure of the study area to be close to the actual situations. In setting up such a system of equations, statistical results and simulation performance of the model as a whole may be meaningless and unrepresentative of the real world due to a structural instability that is built into the model when the equations are combined and solved simultaneously. Even though the use and subsequent analysis of an unstable system are likely to mislead us, most of the studies that take the simultaneous equation approaches neglect such a serious problem. Thus it is necessary to illustrate how to check the stability problem and apply to the actual model, then investigate how such as analysis is able to provide useful information about the structural characteristics of the model from the dynamic viewpoint.
Analysis of categorical data with nonresponses
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 83~95
Statistical models are proposed for analyzing categorical data in the presence of missing observations or nonresponses which might occur in the sampling surveys and polls. As an illustration, we analyzed real polling data of the pre-presidential election in the USA, 1948, It had been predicted that Dewey would win the election. However, Truman won in the actual election.
A Bayesian test for the first-order autocorrelations in regression analysis
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 97~111
This paper suggests a Bayesian method for testing first-order markov correlation among linear regression disturbances. As a Bayesian test criterion, Bayes factor is derived in the form of generalized Savage-Dickey density ratio that is easily estimated by means of posterior simulation via Gibbs sampling scheme. Performance of the Bayesian test is evaluated and examined based upon a Monte Carlo experiment and an empirical data analysis. Efficiency of the posterior simulation is also examined.
A comparison of the statistical methods for testing the equality of two survival distributions
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 113~127
There have been a great deal of interests in comparing two survival distributins in clinical trials. This paper compares some well-known statistical methods for testing the equality of two survival distributions. Simulation studies also provide some insights into the properties of these test statistics across several types of survival distributions and degrees of censorship.
Using a Normal Test Variable(NTV) for clinical research
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 129~139
This article examines the use and some difficulties of Normal Test Variables(NTV) plot for clinical research. Monte Carlo Simulation results are presented based on Normal, Bimodal, Uniform, Exponential and skewed-right distributed Beta Distributions. Further, some solutions are presented and illustrated.
Unrelated question model with quantitative attribute by simple cluster sampling
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 141~150
In this paper, we developed one-stage cluster randomized response model for obtaining quantitative data by using the Greenberg et al. model(1971) when the population was made up of sensitive quantitative clusters. We obtained the minimum variance by calculating the cluster's size and the optimum number of sample clusters under the some given constant cost. We compared the efficiency of our model with the Greenberg et al. model by simple random sampling.
Bootstrap confidence interval for survival function in the Koziol-Green model
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 151~161
We study the bootstrap interval estimation for survival function in the Koziol-Green model. We construct the approximate bootstrap confidence intervals for survival function and prove the strong consistency for the bootstrap estimator of survival function. Finally we show that the approximate bootstrap confidence intervals are better in terms of coverage probability than confidence intervals based on asymptotic normal distribution and transformations of survival function via Monte Carlo simulation study.
Nonparametric estimation of hazard rates change-point
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 163~175
The change of hazard rates at some unknown time point has been the interest of many statisticians. But it was restricted to the constant hazard rates which correspond to the exponential distribution. In this paper we generalize the change-point model in which any specific functional forms of hazard rates are net assumed. The assumed model includes various types of changes before and after the unknown time point. The Nelson estimator of cumulative hazard function is introduced. We estimate the change-point maximizing slope changes of Nelson estimator. Consistency and asymptotic distribution of bootstrap estimator are obtained using the martingale theory. Through a Monte Carlo study we check the performance of the proposed method. We also explain the proposed method using the Stanford Heart Transplant Data set.
Classification of a binary group variable with dependece structure
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 177~184
Most of the research on discrimination and classification analysis has been directed to the situation where the data consist of independent observations. However, it is often the case in practice that a dependence structure between objects does exist, in particular, for the time series data. This article is handling such a case and is concerned with the problem of classifying new object when the dependence can be modelled by a discrete time series via conditional autologistic transition probability.
A bivariate extension of the two-parameter exponential distribution
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 185~192
A bivariate extension of the two-parameter exponential distribution is proposed as a model for certain problems in system level life testing. In particular, it applies to two-component shared parallel systems having a minimum guarantee time. Various statistical properties of the model are investigated, including maximum likelihood estimators (MLEs), modified MLEs, and unbiased estimators of the parameters and their distributions.
Nonparametric estimation of the derivative of function via the Bezier curve
Korean Journal of Applied Statistics, volume 11, issue 1, 1998, Pages 193~204
It is quite that we have to estimate the derivative of the regression function. The Bezier curve, rarely known to statisticians, is very popular in computer graphics area. In this paper, we use nonparametric method via the Bezier curve, and apply this method to real data set. This method seems to be very easy to compute and can be easily applied to other smoothing techniques.