• Journal of applied mathematics & informatics
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• v.7 no.2
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• pp.653-664
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• 2000

The problem of inference about the unknown change-point with a change in mean is considered. We suggest a nonparametric change-point estimator using window and prove its consistency when the errors are from the distribution with the mean zero and the common variance. a comparison study is done by simulation on the mean, the variance, and the proportion of matching the true change-points.

• Journal of Pharmaceutical Investigation
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• v.15 no.3
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• pp.121-129
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• 1985

Influences of various waxes on the consistency of cream was investigated by inspections through microscope, rheometer and sensory test. Fatty acids, higher fatty alcohols, hydrocarbons, and some of natural waxes were used in this experiment. Most above waxes showed good state of emulsion at low concentration, but at higher concentration $(7.0{\sim}8.0%)$, they showed not only an unstable emulsion state but also a critical point of content in consistency. At this critical point of content, the consistency of w/o type cream was increased irregularly. So, it could be identified that consistency of a w/o type cream was strongly dependent on kinds and contents of waxes in continuous phase.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 1998.10a
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• pp.306-312
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• 1998

This paper describes syntheses of thickener for di-urea grease using constant velocity joint. The thickeners of di-urea grease were synthesized by reaction of diisocyanate with various alkylamines, hexylamine, octylamine, stearylamine and cyclohexylamine at high temperatxire. The synthesized thickener were analyzed by FT-IR spectroscopy and two kinds of Mass spectroscopy (EI & FAB). Dropping point and Consistency of synthesized di-urea grease were determined.

• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.109-114
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• 2002

In this paper we propose a change-point estimator with left and right regressions using the sample Fourier coefficients on the orthonormal bases. The asymptotic properties of the proposed change-point estimator are established. The limiting distribution and the consistency of the estimator are derived.

• Journal of the Korea Safety Management & Science
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• v.4 no.3
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• pp.131-140
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• 2002

Today's environment of enterprise is changing, They have to face customer' demands with the right product, the right service and supply them at the right time. And also cut down logistics and inventory cost and bring up the profit as much as they can. This means the change of putting enterprise first in importance to putting customer first importance. therefore to correspond to customer's demand, shorting lead time is becoming a essential condition. The answer to this changes of environment is supply chain management. In this paper, It consolidates the necessity on a LTV(Life Time Value) and analyzes data which is concerned of Customer Value. Under the these environments, defines the LTV(Life Time Value) rule that can improve the customer value. We solved this problems using AHP(Analytic Hierarchy Process) for consistency at relationship matrix, AHP(Analytic Hierarchy Process) is based on Saaty's consistency rate. If consistency rate is under 0.1 point, preference rate's weights are acceptable. This study develop a program for AHP weights and support Satty's consistency rate.

• Journal of the Korean Statistical Society
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• v.28 no.3
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• pp.359-370
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• 1999

We considered a change-point hazard rate model generalizing constant hazard rate model. This type of model is very popular in the sense that the Weibull and exponential distributions formulating survival time data are the special cases of it. Maximum likelihood estimation and the asymptotic properties such as the consistency and its limiting distribution of the change-point estimator were discussed. A parametric bootstrap method for finding confidence intervals of the unknown change-point was also suggested and the proposed method is explained through a practical example.

• Journal of the Korean Statistical Society
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• v.31 no.4
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• pp.533-543
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• 2002

In this paper we propose a change-point estimator with left and right regressions using the sample Fourier coefficients on the orthonormal bases. The window size is different according to the data in the left side and in the right side at each point. The asymptotic properties of the proposed change-point estimator are established. The limiting distribution and the consistency of the estimator are derived.

• Journal of the Korean Data and Information Science Society
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• v.16 no.3
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• pp.657-663
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• 2005

Under the minimum risk point estimation formulation of Robbins(1959), we consider the sequential point estimation problem for normal population $N({\theta},\;{\theta})$ with unknown parameter ${\theta}$. In the case of completely unknown ${\theta}$, Stein's(1945) two-stage procedure is known to enjoy the consistency property, but it is not even first-order efficient. In the case when ${\theta}>{\theta}_L\;where\;{\theta}_L(>0)$ is known, the revised two-stage procedure is shown to enjoy all the usual second-order properties.

• Communications for Statistical Applications and Methods
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• v.6 no.2
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• pp.467-478
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• 1999

This paper deals with the problem of change-point estimation where there is one level change in location with iid errors. A change-point estimator using rank average is proposed with the proof of its consistency. A comparison study of various change-point estimators is done by simulation on the mean the proportion and the variance when the errors are from the normal and the double exponential distributions.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.8
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• pp.924-934
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• 2003

The aim of the present study was to measure intra-individual consistency in clothing style evaluation and to examine its relation to the ratings. For this study, a pilot test was conducted to 50 clothing majored university students to explore the stimulus of‘cute’,‘casual’,‘sexy’,‘elegant’,‘intelligent’,‘formal’,‘romantic’,‘individual’,‘refined’for the 9 each image styles from the 32 spring wears in fashion magazine$\boxDr$FARBE$\boxUl$(March, 2000). On the basis of the preliminary survey, the question items explored the 15 pairs of bipolar adjectives as seven-point Likert type. The main survey was preceded 94 female and 111 men of university students from March 13 to 24 in 2000, twice for 7-days interval. As a result of analyzing of correlation coefficients between the two ratings for each subjects, intra-individual consistency in the evaluation, ranged from -.11 to .87 and mean coefficient was .64 of female and .20 to .76 and mean coefficient was .57 of male. Female had higher intra-individual consistency in the evaluation than male. Based on the coefficients, the subjects were classified into three groups: high, medium, and low intra-individual consistency. Analysis of variance of mean ratings by the three groups revealed that significant difference existed in 42% of female and 25% of male in 135 combinations of 9 clothing and 15 semantic differential scales. There was an apparent tendency that subjects of female with high intra-individual consistency were mostly definitely to evaluate clothing, whereas the ones with low were least. But male shows opposit trend compare to each groups of female. The result of this study, it was found that female rated higher intra-individual consistency and definition in the two times evaluations than male and among the semantic differential scales'consistency differ depending on style and gender. It is believed that the result of this study is helpful clothing image evaluation, and clothing image selection tendency.