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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Communications for Statistical Applications and Methods
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The Korean Statistical Society
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Volume & Issues
Volume 11, Issue 3 - Dec 2004
Volume 11, Issue 2 - Aug 2004
Volume 11, Issue 1 - Apr 2004
Selecting the target year
Centralization of Yates' End Corrections Method
Kim, Hyuk-Joo ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 1~12
DOI : 10.5351/CKSS.2004.11.1.001
In this paper, Yates' end corrections method is centralized to estimate the mean of a population which has a linear trend in the case of k (the reciprocal of the sampling fraction) even. The efficiency of the resultant method is compared with that of existing methods.
A Bhattacharyya Analogue for Median-unbiased Estimation
Sung, Nae-Kyung ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 13~20
DOI : 10.5351/CKSS.2004.11.1.013
A more general version of diffusivity based on total variation of density is defined and an information inequality for median-unbiased estimation is presented. The resulting information inequality can be interpreted as an analogue of the Bhattacharyya system of lower bounds for mean-unbiased estimation. A condition on which the information bound is achieved is also given.
ROC and Cost Graphs for General Cost Matrix Where Correct Classifications Incur Non-zero Costs
Kim, Ji-Hyun ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 21~30
DOI : 10.5351/CKSS.2004.11.1.021
Often the accuracy is not adequate as a performance measure of classifiers when costs are different for different prediction errors. ROC and cost graphs can be used in such case to compare and identify cost-sensitive classifiers. We extend ROC and cost graphs so that they can be used when more general cost matrix is given, where not only misclassifications but correct classifications also incur penalties.
Periodization in the History of Statistics
Jo, Jae-Keun ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 31~47
DOI : 10.5351/CKSS.2004.11.1.031
The history of statistics from the mid-seventeenth to the early twentieth century is considered and a scheme of periodization is proposed. In the first period(1650-1750), named 'the age of probability' in this paper, concept of probability emerged, and in the second period(1750-1820), named 'the age of error theory', statistical techniques such as the least square method are developed by astronomers and geodesists. Their techniques are supported theoretically by mathematicians like Laplace and Gauss in that period. The third period(1820-1880) is called 'the age of statistics(as a plural noun)' since statistical data played prominent roles in social sciences such as sociology, psychology. Finally the last period(1880- ), called 'the age of statistics(as a singular noun)', the discipline of statistics came to maturity both in theory and application.
Asymptotic Test for Dimensionality in Probabilistic Principal Component Analysis with Missing Values
Park, Chong-sun ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 49~58
DOI : 10.5351/CKSS.2004.11.1.049
In this talk we proposed an asymptotic test for dimensionality in the latent variable model for probabilistic principal component analysis with missing values at random. Proposed algorithm is a sequential likelihood ratio test for an appropriate Normal latent variable model for the principal component analysis. Modified EM-algorithm is used to find MLE for the model parameters. Results from simulations and real data sets give us promising evidences that the proposed method is useful in finding necessary number of components in the principal component analysis with missing values at random.
Statistical Methods for Gene Expression Data
Kim, Choongrak ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 59~77
DOI : 10.5351/CKSS.2004.11.1.059
Since the introduction of DNA microarray, a revolutionary high through-put biological technology, a lot of papers have been published to deal with the analyses of the gene expression data from the microarray. In this paper we review most papers relevant to the cDNA microarray data, classify them in statistical methods' point of view, and present some statistical methods deserving consideration and future study.
Bayesian Parameter Estimation using the MCMC method for the Mean Change Model of Multivariate Normal Random Variates
Oh, Mi-Ra ; Kim, Eoi-Lyoung ; Sim, Jung-Wook ; Son, Young-Sook ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 79~91
DOI : 10.5351/CKSS.2004.11.1.079
In this thesis, Bayesian parameter estimation procedure is discussed for the mean change model of multivariate normal random variates under the assumption of noninformative priors for all the parameters. Parameters are estimated by Gibbs sampling method. In Gibbs sampler, the change point parameter is generated by Metropolis-Hastings algorithm. We apply our methodology to numerical data to examine it.
A Development Study of Tool for Web Log Analysis
Choi, Seungbae ; Kang, Changwan ; Kim, Kyukon ; Son, Jongkwan ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 93~106
DOI : 10.5351/CKSS.2004.11.1.093
Recently, many data of various types is gained with development of computer in many fields. Especially, web log data generating in web site furnish beneficial information on an organization. The enterprise's destiny is swayed by according as how these information gaining from the web site utilize. In this paper, for the purpose of obtaining useful information, we present a tool is called WebBizi for web log analysis. This will be helpful to enterprise working the web site.
The Economic Value Analysis of the Scientific and Technological Information
Kim, Yon-Hyong ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 107~120
DOI : 10.5351/CKSS.2004.11.1.107
The purposes of this study are to analyze economic value of science technology information for each distribution center First, the total economic value of each distribution center based on the value of time can be estimated to be 714,384,529 won, which can be compared with that of KISTI's 85,674,153,126 won. Second, the total economic value of each distribution center based on addition time can be estimated to be 1,426,344,558,446 won. And KISTI's 173,915,322,076 won appears to be the highest one as a single unit. Third, the study results can provide an objective standard for the policies of KISTI based on the data collected in this study.
On Slope Rotatability of Central Composite Designs of the Second Type
Kim, Hyuk-Joo ; Ko, Yun-Mi ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 121~137
DOI : 10.5351/CKSS.2004.11.1.121
Kim(2002) proposed a second type of central composite design (CCD2), in which the positions of the axial points are indicated by two numbers. In this paper, we study properties of CCD2 when we are interested in estimating the slope of a response surface. Conditions are obtained for CCD2 to be slope-rotatable over axial directions, and some CCD2's are presented that have slope rotatability over axial directions. Also values of a measure of slope rotatability over axial directions are tabulated for various CCD2's. Finally, it is shown that CCD2 is always slope-rotatable over all directions.
Comparison of Algorithms for Two-way Stratification Design
Kim, Sun-Woong ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 139~151
DOI : 10.5351/CKSS.2004.11.1.139
Kim et al. (2002) developed public use SAS-based software for two-way stratification design, which is called SOCSLP We describe the details of a new approach implemented using SOCSLP and key differences between the approach and the sampling schemes of Sitter and Skinner (1994) and Winkler (2001). In addition, a numerical example is given to compare those methods with respect to the probabilities of selecting sample arrays.
Robust Estimator of Location Parameter
Park, Dongryeon ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 153~160
DOI : 10.5351/CKSS.2004.11.1.153
In recent years, the size of data set which we usually handle is enormous, so a lot of outliers could be included in data set. Therefore the robust procedures that automatically handle outliers become very importance issue. We consider the robust estimation problem of location parameter in the univariate case. In this paper, we propose a new method for defining robustness weights for the weighted mean based on the median distance of observations and compare its performance with several existing robust estimators by a simulation study. It turns out that the proposed method is very competitive.
Posterior Inference in Single-Index Models
Park, Chun-Gun ; Yang, Wan-Yeon ; Kim, Yeong-Hwa ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 161~168
DOI : 10.5351/CKSS.2004.11.1.161
A single-index model is useful in fields which employ multidimensional regression models. Many methods have been developed in parametric and nonparametric approaches. In this paper, posterior inference is considered and a wavelet series is thought of as a function approximated to a true function in the single-index model. The posterior inference needs a prior distribution for each parameter estimated. A prior distribution of each coefficient of the wavelet series is proposed as a hierarchical distribution. A direction
is assumed with a unit vector and affects estimate of the true function. Because of the constraint of the direction, a transformation, a spherical polar coordinate
, of the direction is required. Since the posterior distribution of the direction is unknown, we apply a Metropolis-Hastings algorithm to generate random samples of the direction. Through a Monte Carlo simulation we investigate estimates of the true function and the direction.
Partial Diallel Cross Block Designs For GCA Effect
Choi, Kuey-Chung ; Lee, Jung-Hwa ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 169~179
DOI : 10.5351/CKSS.2004.11.1.169
Partially balanced diallel cross designs with m-associate classes are defined and two general methods of construction are presented. Two-associate class designs based upon group divisible, triangular, and extended group divisible association schemes obtained using the general methods are also given. Tables of designs for p
24 are also provided.
Comparison Of Interval Estimation For Relative Risk Ratio With Rare Events
Kim, Yong Dai ; Park, Jin-Kyung ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 181~187
DOI : 10.5351/CKSS.2004.11.1.181
One of objectives in epidemiologic studies is to detect the amount of change caused by a specific risk factor. Risk ratio is one of the most useful measurements in epidemiology. When we perform the inference for this measurement with rare events, the standard approach based on the normal approximation may fail, in particular when there are no disease cases observed. In this paper, we discuss and evaluate several existing methods for constructing a confidence interval of risk ratio through simulation when the disease of interest is a rare event. The results in this paper provide guidance with how to construct interval estimates for risk difference and risk ratio when there are no disease cases observed.
Outliers in Multivariate Box-Cox Transformed Data
Kim, Myung-Geun ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 189~196
DOI : 10.5351/CKSS.2004.11.1.189
The sensitivity of the multivariate Box-Cox transformation model to simultaneous perturbations of all the data based on the likelihood displacement is studied in order to detect outliers. An example is given for illustration.
Collaborative CRM using Statistical Learning Theory and Bayesian Fuzzy Clustering
Jun, Sung-Hae ;
Communications for Statistical Applications and Methods, volume 11, issue 1, 2004, Pages 197~211
DOI : 10.5351/CKSS.2004.11.1.197
According to the increase of internet application, the marketing process as well as the research and survey, the education process, and administration of government are very depended on web bases. All kinds of goods and sales which are traded on the internet shopping malls are extremely increased. So, the necessity of automatically intelligent information system is shown, this system manages web site connected users for effective marketing. For the recommendation system which can offer a fit information from numerous web contents to user, we propose an automatic recommendation system which furnish necessary information to connected web user using statistical learning theory and bayesian fuzzy clustering. This system is called collaborative CRM in this paper. The performance of proposed system is compared with the other methods using real data of the existent shopping mall site. This paper shows that the predictive accuracy of the proposed system is improved by comparison with others.