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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 10, Issue 2 - Sep 1997
Volume 10, Issue 1 - Mar 1997
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A study on the criteria of opinion poll by the sampling survey
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 203~213
This paper studied criteria of the domestic and international opinion poll for the news publication which is necessary to report and analyze its opinion poll results. Adequate criteria are provided and case studies are performed. Therefore present study is aiming at drawing the further discussion about the criteria of the news publication.
A Study on the Sample Design for the Labor Statistics - Monthly Labor Statistics Survey and Labor Demand Survey -
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 215~226
The purpose of the labor statistics survey is to collect materials on employment, wages and the working time and to analyze the trend of the labor situation. in this research, the stratification variables are industry and the size of establishment. The sample are selected by stratified one stage sampling method in order to produce the reliable estimates of labor statistics. For local labor statistics, we design the sample survey using the city and province as sub-population. So we are able to produce the local area estimates of labor statistics with respect to industry and the size of establishment.
Partial least squares regression theory and application in spectroscopic diagnosis of total hemoglobin in whole blood
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 227~239
PLSR is a powerful multivariate statistical tool that has been successfully applied to the quantitative analyses of data in spectroscopy, chemistry, and industrial process control. Data in spectorscopy is represented by spectrum matrix measured in many wavelengths. Problems of many kinds of noise in data and itercorrelation between wavelengths are quite common in such data. PLSR utilizes whole data set measured in many wavelengths to the analysis, and handles such problems through data compression method. We investigated the PLSR theory, and applied this method to the data for spectroscopic diagnosis of Total Hemoglobin in whole blood.
Dynamic graphic approach for regression diagnostics system (REDS)
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 241~251
Several studies have bee down on the work of dynamic graphical methods for regression diagnostics. The main propose of the methods were to investigate (1) the effects of change of data, or (2) the effects of change of regression coefficients on the regression models. But, by contrast, we can also investigate the effects of change of regression residuals on the regression model. This method can be used in fitting better a certain set of observations to a regression model than the other observations. Our research team approaches regression diagnostics by using dynamic graphics (REDS), and we introduce REDS in this thesis.
On the algorithm of constructing the model-based optimal sample
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 253~260
Various algorithms are investigated with respect to finding the best model-based samples according to criteria such as D-optimality and minimum mean square error. These two criteria are slightly different, but related to each other. Therefore, it is not surprising that these two are producing the almost identical samples. Some simple examples follow and critiques are provided along with directions for further research.
Discriminant analysis based on a calibration model
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 261~274
Most of the data sets to which the conventional discriminant rules have been applied contain only those which belong to one and only one class among the classes of interest. However the extension of the bivalence to multivlaence like Fuzzy concepts strongly influence the traditional view that an object must belong to only class. Thus the goal of this paper is to develop new discriminant rules which can handle the data each object of which may belong to moer than two classes with certain degrees of belongings. A calibration model is used for the relationship between the feature vector of an object and the degree of belongings and a Bayesian inference is made with the Metropolis algorithm on the degree of belongings when a feature vector of an object whose membership is unknown is given. An evalution criterion is suggested for the rules developed in this paper and comparision study is carried using two training data sets.
Representative component scoring system and its validity and applicability
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 275~291
In the case that an abstract concept was measured indirectly by using its indicators, many researcher have obtained its score by using the simple mean, the first principal component, or the first factor, etc. In this paper, an scoring method named as the representative component scoring system was suggested as an alternative and its validity and applicability were studied.
A study on the multivariate sliced inverse regression
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 293~308
Sliced inverse regression is a method for reducing the dimension of the explanatory variable X without going through any parametric or nonparametric model fitting process. This method explores the simplicity of the inverse view of regression; that is, instead of regressing the univariate output varable y against the multivariate X, we regress X against y. In this article, we propose bivariate sliced inverse regression, whose method regress the multivariate X against the bivariate output variables $y_1, Y_2$. Bivariate sliced inverse regression estimates the e.d.r. directions of satisfying two generalized regression model simultaneously. For the application of bivariate sliced inverse regression, we decompose the output variable y into two variables, one variable y gained by projecting the output variable y onto the column space of X and the other variable r through projecting the output variable y onto the space orthogonal to the column space of X, respectively and then estimate the e.d.r. directions of the generalized regression model by utilize two variables simultaneously. As a result, bivariate sliced inverse regression of considering the variable y and r simultaneously estimates the e.d.r. directions efficiently and steadily when the regression model is linear, quadratic and nonlinear, respectively.
Restoration for the censored image vai EM algorithm
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 309~323
Although there are many photochemical images of which are censored while they are recorded, normal approaches are often applied to the restorations for them. In this case, it yields a restored image which might have serious bias. However, solutions for this problem are hardly found in the research of image restorations. This article provides a method of image restoration via EM algorithm for the censored images of which are contaminated with Gaussian noise and blur, also presents some results of simulation for artificial images censorized.
A generalized linear model for vaccination data on chickenpox
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 325~338
This paper suggests a sequence of dependence models as a statistical analysis model for vaccination data on chickenpox and discusses a method for evaluating maximum likelihood estimates of unknown parameters in the suggested model.
Small sample tests for two-way contingency tables
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 339~352
Chi-square test based on large sample theory is inappropriate for testing the row homogeneity in two-way contingency table with several sparse cells. For that case, exact testing methods has been developed in the literature and implemented in StatXact(1991). However, considerable computing time is inevitable for moderate size tables. So, Monte Carlo approximation is recommended frequently. In this study, we propose a simple algorithm for generating two-way random tables with fixed row and column margins for small sample chi-square test. Also, we develo
A comparison of group sequential methods in clinical trials
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 353~366
In this paper, we derive an approximate optimal Bayes group sequential design for a given loss function. We use the Monte-Carlo method to compare the ASN(average sample size) function and Bayes risk of approximate optimal Bayes group sequential design, Pocock design and O'Brien and Fleming design. Also introduced is the concept of Bayes efficiency and percentage loss of information due to grouping for the group sequential design and use it to measure the loss of information for different group sizes.
An estimation procedure with updated sample
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 367~374
In panel surveys it is necessary to manage both sampling frame and sample units across time. When sample is updated according to the change of its frame, it should be incorporated in the estimation procedure. This paper derives the bias of the conventional estimator caused by neglecting the change of sample, and provides a bias-adjusted estimator with its variance.
A comparison of three-types of multi-level skip-lot
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 375~384
In this paper, chain-shaped multi-level skip-lot sampling plan is designed, which is a normal inspection plan between Choi(1993)'s tightened inspection plan and Choi(1995)'s reduced inspection plan. In every skipping inspection of the proposed plan, when designed numbers of consecutively inspected lots are accepted, switch to the next skipping inspection, and when a lot is rejected, switch to the skipping inspection of two-level lower. Also, the formulae of the operating chareacteristic function, average sampling number and average outgoing quality for the proposed skip-lot sampling plan are derived using the morkov chain approach and their properties are studied and graphically compared with those of the other multi-level skip-lot sampling plans.
An approximation method for the ARL and the decision interval in CUSUM control charts
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 385~401
Cumulative sum (CUSUM) control charts are widely used in industry for the statistical process control. The statistical design procedure in CUSUM charts tells how to choose the decision interval value. The decision interval is primarily determied by the desired in - control ARL - that is, by the acceptable frequency of false out-of-control signals. In this paper we propose a new approximation method for calculating the ARL and determining the decision interval. The performance of the proposed method is examined by evaluating the accuracy of estimated ARLs and decision intervals in normal and exponential cases.
Fuzzy linear regression model and its application
Korean Journal of Applied Statistics, volume 10, issue 2, 1997, Pages 403~411
Fuzzy linear regression model introduced by Tanaka et al. 91982) has been proposed and developed as alternative to statistical linear regression when our understanding of a phenomenon is imprecise or vague. In this paper we review fuzzy linear regression model and its parameter estimation and examine its strengths and weaknesses through case study. In addition another fuzzy linear model is introduced and applied to an economic study.