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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Korean Journal of Applied Statistics
Journal Basic Information
Journal DOI :
The Korean Statistical Society
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Volume & Issues
Volume 7, Issue 2 - Sep 1994
Volume 7, Issue 1 - Feb 1994
Selecting the target year
On the calibration problem with censored data
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 1~17
This article basically considers the calibration problem with censored data from the Bayesian point of view. The Gibbs sampling method is discussed to solve the difficulty encountered in computing the posterior distribution. Also presented is an approach for impementing the Gibbs sampling in actual data situation with the estimation procedures.
Nonparametric tests of parallelism aginst umbrella alternatives of slopes in k-regression lines
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 19~34
In this paper we propose nonparametric tests of parallelism against umbrella alternatives of slopes in k-regression lines and investigate the asymptotic properties of the proposed test statistics. For the known peak and unknown peak, we suggest the test statistics and show that, from Monte Carlo study, the proposed test statistics have good empirical powers for heavy tailed distributions than the likelihood ratio tests.
Nonparametric test procedure for the bivariate changepoint
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 35~46
We propose the nonparametric rank-like test for the location parameter in the bivariate changepoint model. Empirical powers between the parametric test and nonparametric test are compared. These results show that rank-like test is better than parametric method except bivariate normal null distribution. The point estimators for the changepoint are also compared by the empirical mean squared errors.
Sample designs of the farm population survey and the livestock survey
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 47~58
The farm population survey and the livestock survey are sample surveys related to agriculture. Two new sample designs for these surveys are considered. Shi-Gun(county) estimates in the farm population survey and Shi-Do(county) estimates in the livestock survey can be obtained. Also the sample sizes are reduced. To increase the precision of the estiamtes strarified simple random samples are used and particularly purposive samples are introduced in livestock survey. Lastly the method of management and replacement of samples are investigated for successive occasion survey.
The role of the department of statistics
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 59~68
The role of the department of statistics in Korea is discussed. There are more than 70 statistics departments in the universities throughout the country. However, we can hardly find that statisticians and statistical service organizations who are responsible for, for example, identifying the statistical services needed by clients in our society. In developed countries, statistics is now widely employed in all areas of societies including industry and government. Statistics and statisticians also have vital internal roles in production, research, marketing, and support functions of the modern corporation as stated by Marquardt(1987). Professors in the department of statistics are responsible for solving the problems with the discipline of statistics and with statisticians. In this article some of those problems are explored.
INFLUENCE FUNCTIONS IN MULTIPLE CORRESPONDENCE ANALYSIS
Hong Gie Kim ;
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 69~74
Kim (1992) derived influence functions of rows and columns on the eigenvalues obtained in correspondence analysis (CA) of two-way contingency tables. As in principal component analysis, the eigenvalues are of great importance in CA. The goodness of a two dimensional correspondence plot is determined by the ratio of the sum of the two largest eigenvalues to the sum of all the eigenvalues. By investigating those rows and columns with high influence, a correspondence plot may be improved. In this paper, we extend the influence functions of CA to multiple correspondence analysis (MCA), which is a CA of multi-way contigency tables. An explicit formula of the influence function is given.
A Ridge-type Estimator For Generalized Linear Models
Byoung Jin Ahn ;
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 75~82
It is known that collinearity among the explanatory variables in generalized linear models inflates the variance of maximum likelihood estimators. A ridge-type estimator is presented using penalized likelihood. A method for choosing a shrinkage parameter is discussed and this method is based on a prediction-oriented criterion, which is Mallow's
statistic in a linear regression setting.
Design and Analysis of Computer Experiments with An Application to Quality Improvement
Jung Wook Sim ; Jeong Soo Park ; Jong Sung Bae ;
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 83~102
Some optimal designs and data analysis methods based on a Gaussian spatial linear model for computer simulation experiments are considered. For designs of computer experiments, Latin-hypercube designs and some optimal designs are combined. A two-stage computational (2-points exchange and Newton-type) algorithm for finding the optimal Latin-hypercube design is presented. The spatial prediction model which was discussed by Sacks, Welch, Mitchell and Wynn(1989) for computer experiments, is used for analysis of the simulated data. Moreover, a method of contructing sequential (optimal) Latin-hypercube designs is considered. An application of this approach to the quality improvement and optimization of the integrated circuit design via the main-effects plot and the sequential experimental strategy is presented.
Testion a Multivariate Process for Multiple Unit Roots
Key Il Shin ;
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 103~112
An asymptotic property of the estimated eigenvalues for multivariate AR(p) process which consists of vector of nonstationary process and vector of stationary process is developed. All components of the nonstationary process are assumed to reveal random walk behavior. The asymptotic property is helpful in understanding multiple unit roots. In this paper we show the stationay part in multivariate AR(p) process does not affect the limiting distribution of estimated eigenvalues associated with the nonstationary process. A test statistic based on the ordinary least squares estimator for testing a certain number of multiple unit roots is suggested.
A dice with 14 faces and its probability assessment
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 113~119
Logical and frequency probabilities are computed with discussion on their conceptual difference for the case of '14-faces dice' which was excavated in a Unified Silla period pond Anap-chi located at Kyung-ju City, Korea. This wooden dice has eight triangular and six square faces.
A study of maximum likelihood estimation using symbolic manipulation
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 121~129
Using the software named MATHEMATICA which can evaluate symbolic operation, it is demonstrated to obtain the maximum likelihood estimation form. A sample from Multivariate Normal distribution is adopted to show the process of obtaining the maximum likelihood estimator.
A critrion for identification of the mixture normal distribution
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 131~140
In order to find the identification function from data and to apply the identification function for the pattern classification, we consider the existing problem of the number of patterns in such data. In this paper, a new criteria for the identification of Gaussaian mixture distribution could be established as a charateristic of the sample variance, which is a bootstrap estimate of the sample variance. We examine the properties and fittness of the criteria through a large scale of computer simulations.
A Stratified Randomized Response Technique
Ki Hak Hong ; Jun Keun Yum ; Hwa Young Lee ;
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 141~147
In the present paper an attempt has been made to develop a stratified ramdomized response technique when the respondents are selected using simple random sampling without replacement (SRSWOR) as well as simple random sampling with replacement (SRSWR). The conditions under which the proposed technique will be more efficient than the corresponding Warner's technique have been obtained.
An Adaptive Bandwidth Selection Algorithm in Nonparametric Regression
Kyung Joon Cha ; Seung Woo Lee ;
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 149~158
Nonparametric regression technique using kernel estimator is an attractive alternative that has received some attention, recently. The kernel estimate depends on two quantities which have to be provided by the user : the kernel function and the bandwidth. However, the more difficult problem is how to find an appropriate bandwidth which controls the amount of smoothing (see Silverman, 1986). Thus, in practical situation, it is certainly desirable to determine an appropriate bandwidth in some automatic fashion. Thus, the problem is to find a data-driven or adaptive (i.e., depending only on the data and then directly computable in practice) bandwidth that performs reasonably well relative to the best theoretical bandwidth. In this paper, we introduce a relation between bias and variance of mean square error. Thus, we present a simple and effective algorithm for selecting local bandwidths in kernel regression.
Empirical Bayes Estimation of the Probability of Discovering a New Species
Joo Ho Lee ;
Korean Journal of Applied Statistics, volume 7, issue 1, 1994, Pages 159~172
An empirical Bayes estimator of the probability of discovering a new species is proposed when some prior information is available on the number f species. The new estimator is shown via simulations to have only a moderate bias and a smaller RMSE than Good's estimator when the species population follows a truncated geometric distribution.