• Title/Summary/Keyword: Statistical graphics

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Zooming Statistics: Inference across scales

  • Hannig, Jan;Marron, J.S.;Riedi, R.H.
    • Journal of the Korean Statistical Society
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    • v.30 no.2
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    • pp.327-345
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    • 2001
  • New statistical methods are ended to analyzed data in a multi-scale way. Some multi-scale extensions of stand methods, including novel visualization using dynamic graphics are proposed. These tools are used to explore non-standard structure in internet traffic data.

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Implementation of Estimation and Inference on the Web

  • Kang, Heemo;Sim, Songyong
    • Communications for Statistical Applications and Methods
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    • v.7 no.3
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    • pp.913-926
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    • 2000
  • An electronic statistics text on the web is implemented. The introduced text provide interactive instructions on the statistical estimation and inference. As a by-product, we also provide a calculation of quantiles and p-value of t-distribution and standard normal distribution. This program was written in JAVA programming language.

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A Parameter-Based Hairstyler (패러미터 기반 머리카락 모델링 기법)

  • Choe, Byoung-Won;Ko, Hyeong-Seok
    • Journal of the Korea Computer Graphics Society
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    • v.10 no.2
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    • pp.10-16
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    • 2004
  • This paper presents an interactive technique that produces static human hairstyles by generating individual hair strands of the desired shape and color, subject to the presence of gravity and collisions. A variety of human hairstyles can be generated by supplying a few parameters to the modeling core, which consists of the wisp generator and hair deformation solver. Wisps are generated employing statistical approaches. As for hair deformation, a method that is not physically-based is proposed to efficiently account for the effects of gravity and collisions. The technique produces various hairstyles much faster than previously proposed methods, and the styles generated by this technique are remarkably realistic.

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Graphical Diagnostics for Logistic Regression

  • Lee, Hak-Bae
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.05a
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    • pp.213-217
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    • 2003
  • In this paper we discuss graphical and diagnostic methods for logistic regression, in which the response is the number of successes in a fixed number of trials.

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Approximation of binomial Distribution via Dynamic Graphics

  • Lee, Kee-Won
    • Communications for Statistical Applications and Methods
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    • v.6 no.3
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    • pp.821-830
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    • 1999
  • In This paper we calculate the probabilities of binomial and Poisson distributions when n or${\mu}$ is large. Based on this calculation we consider the normal approximation to the binomial and binomial approximation to Poisson. We implement this approximation via CGI and dynamic graphs. These implementation are made available through the internet.

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Categorical Data Analysis System in the Internet (인터넷상에서의 범주형 자료분석 시스템 개발)

  • Hong, Jong Seon;Kim, Dong Uk;O, Min Gwon
    • The Korean Journal of Applied Statistics
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    • v.12 no.1
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    • pp.81-81
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    • 1999
  • A categorical data analysis system in the World Wide Web is proposed with an easy- to-use environment . This system is composed of four components. First, this system presents several graphical displays for Exploratory Data Analysis for categorical data. Second, it provides some measures of association Including dynamic graphics for mosaic plots of Hartigan and Kleiner (1981) and Friendly (1994). Dynamic graphics for mosaic plots give some useful informations. Third, this system can analyze categorical data with loglinear models. So we can select the best fitted loglinear model interactively.

Simulation Uleung Island By The Statistical Fractals (프랙탈 기법에 의한 울릉도 형상화 사례 연구)

  • 노용덕
    • Journal of the Korea Society for Simulation
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    • v.4 no.1
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    • pp.113-119
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    • 1995
  • In 3D computer graphics, fractal techniques have been applied to terrain models. Even though fractal models have become popular for recreating a wide variety of the shapes found in nature, a specific 3D terrain model such as Uleung Island could not be formulated by statistical fractals easily owing to the random effects. However, by locating the midpoints on the edges and the surface of a specific terrain such as Uleung Island, a similar shape of the terrain model can be simulated. This paper shows the way of simulating 3D Uleung Island terrain model by the statistical fractals wherein the subdivision algorithm is used.

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Optimal Value Estimation Method with Lower and Upper Bounds

  • Chong Sun;Youn Jong;Jong Seok
    • Communications for Statistical Applications and Methods
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    • v.7 no.1
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    • pp.257-268
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    • 2000
  • As one of indirect ways to get an optimal answer for sensitive questions both lower and upper values are sometimes asked and collected. In this paper a statistical method is proposed to analyze this kind of data using graphics. This method could define each sample median and estimate an optimal value between lower and upper bounds. In particular we find that this method has similar explanations of an equilibrium price with demand and supply functions in Economics.

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Applications of Maple package in Education of Mathematics for Statistics

  • Jang, Dae-Heung
    • 한국데이터정보과학회:학술대회논문집
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    • 2005.10a
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    • pp.103-115
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    • 2005
  • Mathematical packages have the advantages of symbolic computation and powerful graphics interface in contrast with statistical packages. We can use mathematical packages as a support tool in education of mathematics for statistics.

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Applications of R package for statistical engineering (통계공학을 위한 R 패키지 응용)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.33 no.1
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    • pp.87-105
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    • 2020
  • Statistical engineering contains the design of experiments, quality control/management, and reliability engineering. R is a free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. R package has many functions and libraries for statistical engineering. We can use R package as a useful tool for statistical engineering. This paper shows the applications of R package for statistical engineering and suggests a R Task View for statistical engineering.