• Journal of the Korean Statistical Society
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• v.36 no.1
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• pp.31-55
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• 2007

R is an open source language for statistical computing and graphics based on the ACM software award-winning S language. R is widely used for data analysis and has become a major vehicle for making available new statistical methodology. This paper presents an overview of the design philosophy and the development model for R, reviews the basic capabilities of the system, and outlines some current projects that will influence future developments of R.

• The Korean Journal of Applied Statistics
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• v.4 no.1
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• pp.65-83
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• 1991

In order to know the situation of statistical Quality Control in Korea, we have surveyedabout 4, 500 manufacturing companies in Korea. Among the first 4, 500 manufacturing companies, 2, 586 companies have answered for the questionairs of the sample survey. In this research a statistical analysis is conducted for the 2, 586 companies and diagnosis of the situation of Statistical Quality Control is Korea in presented in terms of levels of development and degrees of implementation.

• Corrosion Science and Technology
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• v.7 no.5
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• pp.296-299
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• 2008

High order statistical parameters were evaluated using the electrochemical noise data collected during corrosion of type 430 stainless steel coupled to a inert, platinum electrode in 3.5% NaCl solution. High order statistical parameters are shown to predict uniform corrosion properly. However, Localization index, skewness of current, kurtosis and skewness of potential are capable of predicting pitting corrosion only when the transients are large with long life time. Of the high order statistical parameters evaluated, kurtosis of current is found to be the most sensitive parameter for detecting uniform and pitting corrosion.

• Journal of the Korea Safety Management & Science
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• v.9 no.1
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• pp.119-131
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• 2007

Engineer and quality statistician use different terms and techniques but they have same meaning and concept. The terms accuracy and precision are frequently used by engineer and scientist in the department of R&D and production technology. This paper makes a contribution to the interpretation of statistical quality techniques by the use of accuracy and precision. Engineer and scientist who have six sigma black belt and statistical background can use efficiently and effectively accuracy and precision in a manner consistent with statistical usage according to this study.

• Journal of the Korean Statistical Society
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• v.33 no.1
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• pp.25-34
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• 2004

In this paper we propose a prediction method on the regression model with randomly censored observations of the training data set. The least squares support vector machine regression is applied for the regression function prediction by incorporating the weights assessed upon each observation in the optimization problem. Numerical examples are given to show the performance of the proposed prediction method.

• Honam Mathematical Journal
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• v.43 no.1
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• pp.47-58
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• 2021

In this paper, we introduce rough statistical convergence of difference double sequences in normed linear spaces as an extension of rough convergence. We define the set of rough statistical limit points of a difference double sequence and analyze the results with proofs.

• Communications of the Korean Mathematical Society
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• v.37 no.3
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• pp.851-864
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• 2022

We define a kind of sectional curvature and 𝛿-invariants for statistical manifolds. For statistical submanifolds the sum of the squared mean curvature and the squared dual mean curvature is bounded below by using the 𝛿-invariant. This inequality can be considered as a generalization of the so-called Chen inequality for Riemannian submanifolds.

• Journal of applied mathematics & informatics
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• v.40 no.3_4
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• pp.433-444
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• 2022

In the present paper, we introduce some new notions of Wijsman ${\mathcal{I}}$-statistical convergence with the use of Orlicz function, lacunary sequence and triple sequences of sets, and obtain some analogous results from the new definitions point of views.

• Korean Journal of Mathematics
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• v.32 no.1
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• pp.121-135
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• 2024

In this paper, we have presented rough ideal statistical convergence of sequence on neutrosophic normed spaces as a significant convergence criterion. As neutrosophication can handle partially dependent components, partially independent components and even independent components involved in real-world problems. By examining some properties related to rough ideal convergence in these spaces we have established some equivalent conditions on the set of ideal statistical limit points for rough ideal statistically convergent sequences.

• Communications for Statistical Applications and Methods
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• v.6 no.3
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• pp.861-870
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• 1999

An HMM statistical package with graphic user interface is constructed with C++ classes for HMM operations. An isolated word speech recognition experiment is conducted with nine English words.