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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 6, Issue 2 - Sep 1993
Volume 6, Issue 1 - Mar 1993
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Introduction to S-PLUS and graphical comparison with SAS
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 1~11
Statistical graphics have been important new tools for data analysis and many statistical softwares are exploiting graphical methods. Among these softwares available in personal computer at low cost, we intriduce S-PLUS(version 2.0). S-PLUS is an interactive graphical data analysis system and object-oriented programming language. SAS/GRAPH is another popular graphical system for displaying data in the form of color plots, charts, maps, and slides on screen and hardcopy devices. S-PLUS is compared to SAS/GRAPH(version 6.04) in viewpoints of statistical graphics.
SAS/GRAPH: Its Capabilities and Limitations
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 13~22
SAS/GRAPH is a part of the SAS System which generates information and presentation color graphics. It is able to import any SAS dataset from other statistical data analysis procedures and produce sophisticated graphics output. It also supports most output devices on the market and offers various tools enhancing graphics output. In this regard SAS/GRAPH outclasses its compertitors. However, it does not support an interactive tool for data visualization and graphical data analysis. As far as interactive statistical graphics is concerned, SAS/GRAPH is behind in features and functions, compared to newly emerged statsitical graphics software such as S-Plus.
Dynamic graphic features in S-PLUS and XLISP-STAT
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 23~28
The increase in computing power and the decrease in price of computers has enabled statistical computer graphics to progress tremendously in recent years. Many people can now access to the newly developed computer graphical methods easily. The direct manipulation on screen and the symultaneous realization of the results are two main ingradients of dynamic graphics. We compare the dynamic graphical features in two relatively new packages; SPLUS and XLISP-STAT. XLISP-STAT is very lean packed with powerful dynamic graphical tools. The statistical computer graphics, being still in the state of infancy, has a lot of room to grow, and is a new research area with a great potential.
Error-robust model-based sampling in accounting
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 29~40
In a model-based sampling problem, it often happens that the functional form of variance of error terms in regression model cannot be specified in an exact form. The goal of error-robust sampling design will be to minimize the 'ill effects' resulting from a lack of knowledge of the error structure. A sampling criterion, which is optimal if it minimizes the average of an inefficiency measure when taken with respect to all candidate error structures, is proposed and a computer algorithm is developed for construction of optimal sampling plans. Auditing problem is of particular relevance because of the uncertainty that currently clouds specification of the error structure.
Adjustments of dispersion statistics in extended quasi-likelihood models
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 41~52
In this paper we study numerical behavior of the adjustments for the variances of the pearson and deviance type dispersion statistics in two overdispersed mixture models; negative binomial and beta-binomial distribution. They are important families of an extended quasi-likelihood model which is very useful for the joint modelling of mean and dispersion. Comparisons are done for two types of dispersion statistics for various mean and dispersion parameters by simulation studies.
A Bayes Linear Estimator for Multi-proprotions Randomized Response Model
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 53~66
A Bayesian approach is suggested to the multi-proportions randomized response model. O'Hagan's (1987) Bayes linear estimator is extended to the inference of unrelated question-type randomized response model. Also some numerical comparisons are provided to show the performance of the Bayes linear estimator under the Dirichlet prior.
A study of a new statistic for detection of outliers and/or influential observations in regression diagnostics
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 67~78
A new diagnostic statistic for detecting outliers and influential observations in linear models is suggested and studied in this paper. The proposed statistic is a weighted sum of two measures; one is for detecting outliers and the other is for detecting influential observations. The merit of this statistic is that it is possible to distinguish outliers from influential observations. We have done some Monte-Carlo Simulation to find the probability distribution of this statistic.
Adaptive L-estimation for regression slope under asymmetric error distributions
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 79~93
We consider adaptive L-estimation of estimating slope parameter in regression model. The proposed estimator is simple extension of trimmed least squares estimator proposed by ruppert and carroll. The efficiency of the proposed estimator is especially well compared with usual least squares estimator, least absolute value estimator, and M-estimators designed for asymmetric distributions under asymmetric error distributions.
Necessary and sufficient conditions for the equality between the two best linear unbiased estimators and their applications
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 95~103
Necessary and sufficient conditions for the equality between the best linear unbiased estimators in two linear models with different covariance matrices,
, say, are derived. Various applications of this discovery are also given. Necessary and sufficient conditions for the equality between the best linear unbiased estimator and the ordinary least squares estimator are discussed related to this topic.
A measure of slope rotatability over all directions
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 105~123
A review on the development of a scan statistic and its applications
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 125~143
The primary objective of the paper is to review the development of approximations of the null distribution of a scan statistic and to show how these approximations were improved. Let
be a sequence of independent uniform random variables on an interval (0, t]. A can statistic is defined to be the maximum number of observations in a subinterval of length t
T, when we continuously (or discretely) move the subinterval from 0 to T. A scan statistic is used to test whether certain events occur in a cluster aganist a null hypothesis of the uniformity. It is difficult to calculate the exact null distribution of a scan statistic. Several authors have suggested approximations of the null distribution of a scan statistic since Naus(1966). We conceive that a scan statistic can be used for detecting a "hot region" is defined to be a region at which the frequencies of mutations are relatively high. A "hot region" may be regarded as a generalized version of a hot spot. We leave it for a further study the concrete formulation of deteciton a "hot region" in a mutational spectrum.uot; in a mutational spectrum.
A study on unequal probability sampling over two successive occasions in time series
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 145~162
We review sampling schemes on successive occasions with partial replacement of units and propose a Rao-Hartley-Cochran(RHC) type's sampling scheme over two successive occasions with probability proportionate to observations on the previous occasion. For comparison of the reviewed and proposed sampling schemes, optimal estimator of population mean on second occasion and its variance are derived. The relative efficiency of the proposed sampling scheme is compared with other equal and unequal probability sampling scheme by theoretical and numerical simulation study. For simulation study, three artificial populations are generated by a time series model. It is observed that RHC type's sampling scheme has small variance and deviation in general.
Introduction of NLIN90, a software for nonlinear regression analysis
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 163~172
A computer software for nonlinear regression analysis, NLIN90, was developed to provide easy access and useful information for more precise analysis which can be obtained from the newly developed theory. Together with the elementary statistics, it provides statistics for curvature analysis of model function and of each parameter, for curvaure analysis of transformed parameters, for experimental design analysis, and for residual analysis. Easy access is obtained by utilizing a database of nonlinear models.
Nonparametric empirical bayes estimation of a distribution function with respect to dirichlet process prior in case of the non-identical components
Korean Journal of Applied Statistics, volume 6, issue 1, 1993, Pages 173~181
Nonparametric empirical Bayes estimation of a distribution function with respect to dirichlet process prior is considered when sample sizes are varying from component to component. Zehnwirth's estimate of
(R) is modified to be used in our empirical Bayes problem with non-identical components.