• Title/Summary/Keyword: Johnson

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NEWMAN'S PROPERTY

  • McAuley, L.F.;Johnson, R.A.
    • Kyungpook Mathematical Journal
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    • v.34 no.2
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    • pp.259-273
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    • 1994
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The Features of the Pavilions, Follies, and Installations of the Glass House (글라스하우스의 파빌리온, 폴리, 인스톨레이션의 특성)

  • Kim, Ran-Soo
    • Journal of architectural history
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    • v.26 no.1
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    • pp.71-82
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    • 2017
  • Pavilions, follies, and installations provide a place with a new experience beyond that of simple garden architecture. From this point of view, this study tried to analyze the constructs in the Glass House site, which Philip Johnson has built for 50 years. After Chapter 1 Introduction, which summarized the background of the study, Chapter 2 investigated the design background of the landscape and the types of the constructs there. It also, studying literature on pavilions, follies, and installations, defined the basic meanings of them. Chapter 3 identified the features of each construct through the case studies of it, analyzing Johnson's intentions on it. These features are such as the applications of classical follies, the quotations of architectural history, fusion with art, architectural experiments, and the monuments of personal history. In conclusion, this study, finding the site specificity as a common feature of pavilions, follies, and installations, referred to two aspects of this, which are not only physical placeness but also cultural media.

An Empirical Characteristic Function Approach to Selecting a Transformation to Normality

  • Yeo, In-Kwon;Johnson, Richard A.;Deng, XinWei
    • Communications for Statistical Applications and Methods
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    • v.21 no.3
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    • pp.213-224
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    • 2014
  • In this paper, we study the problem of transforming to normality. We propose to estimate the transformation parameter by minimizing a weighted squared distance between the empirical characteristic function of transformed data and the characteristic function of the normal distribution. Our approach also allows for other symmetric target characteristic functions. Asymptotics are established for a random sample selected from an unknown distribution. The proofs show that the weight function $t^{-2}$ needs to be modified to have thinner tails. We also propose the method to compute the influence function for M-equation taking the form of U-statistics. The influence function calculations and a small Monte Carlo simulation show that our estimates are less sensitive to a few outliers than the maximum likelihood estimates.

Prediction Value Estimation in Transformed GARCH Models (변환된 GARCH모형에서의 예측값 추정)

  • Park, Ju-Yeon;Yeo, In-Kwon
    • The Korean Journal of Applied Statistics
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    • v.22 no.5
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    • pp.971-979
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    • 2009
  • In this paper, we introduce the method that reduces the bias when the transformation and back-transformation approach is applied in GARCH models. A parametric bootstrap is employed to compute the conditional expectation which is the prediction value to minimize mean square errors in the original scale. Through the analyese of returns of KOSPI and KOSDAQ, we verified that the proposed method provides a bias-reduced estimation for the prediction value.

Systematic Studies of Korea Rodents : III. morphometric and Chromosomal Analyses of Striped Field Mice, Apodemus Agrarius chemuensis Jones and Johnson, from Jeju-Do (한국산 설치류의 계통분류학적 연구 : III. 제주도산 등줄쥐 (Apodemus agrarius chejuensis Jones and Johnson)의 형태적 및 염색체 분석)

  • 고흥선
    • Animal Systematics, Evolution and Diversity
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    • v.3 no.1
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    • pp.24-40
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    • 1987
  • Striped filed mice from Jeju-Do (Apodemus agrarius chejuensis) were used for morphometric and chromosomal studies in order to compare them with striped field mice from the korean peninsula (A. Agrarius coreae). It was found that A.agrarius chejuensis and A. agrarius coreae are similar in karyotypes and it was confirmed that the former is a large-size group and the latter is a small-size group.

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