• Tuberculosis and Respiratory Diseases
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• v.43 no.6
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• pp.1042-1047
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• 1996

The Swyer-James syndrome is a relatively uncommon disease entity presented with unilateral hyperlucent lung due to hypoplasia of a pulmonary artery and bronchiectasis of the affected lung. The main finding is a hyperlucent lung with small hilar shadows on the chest X-ray. Pulmonary angiography is the standard method for diagnosis. We report a case of the Swyer-James syndrome with a brief review of literature.

• Journal of Korea Society of Industrial Information Systems
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• v.5 no.2
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• pp.62-69
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• 2000

In this paper, we propose two Buckley-James type nonparametric estimators for entropy of lifetimes under random censorship model. We investigate the small sample behaviors of the proposed estimators when the underlying distribution has decreasing failure rate, constant failure rate, and increasing failure rate. Also some examples are illustrated for analysing data.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1549-1555
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• 2014

Consider a p-variate normal distribution ($p-q{\geq}3$, q = rank($P_V$) with a projection matrix $P_V$). Using a simple property of noncentral chi square distribution, the generalized Bayes estimators dominating the James-Stein estimator shrinking towards projection vectors under quadratic loss are given based on the methods of Brown, Brewster and Zidek for estimating a normal variance. This result can be extended the cases where covariance matrix is completely unknown or ${\sum}={\sigma}^2I$ for an unknown scalar ${\sigma}^2$.

• Journal of Integrative Natural Science
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• v.5 no.3
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• pp.186-189
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• 2012

For the mean vector of a p-variate normal distribution ($p{\geq}3$), the optimal estimation within the class of James-Stein type decision rules under the quadratic loss are given when the underlying distribution is that of a variance mixture of normals and when the norm ${\parallel}\underline{{\theta}}{\parallel}$ in known. It also demonstrated that the optimal estimation within the class of Lindley type decision rules under the same loss when the underlying distribution is the previous type and the norm ${\parallel}{\theta}-\overline{\theta}\underline{1}{\parallel}$ with $\overline{\theta}=\frac{1}{p}\sum\limits_{i=1}^{n}{\theta}_i$ and $\underline{1}=(1,{\cdots},1)^{\prime}$ is known.

• Journal of Korean Philosophical Society
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• v.116
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• pp.207-224
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• 2010

Belief is generally understood as a mental phenomenon which is aimed to attain objective information of the world. Thus, the content of belief is not something that can be manipulated or created by men. The primary function of belief in a word is to represent the world correctly. Now, William James in his "The Will to Believe" challenges this view. According to James, one can come to believe something by choosing to believe it. And he argues for his position by criticizing W. K. Clifford who wrote an essay entitled "The Ethics of Belief". In this paper, I examine both arguments given by them and show whose position is more convincing.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.2
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• pp.83-92
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• 2019

This study set out to analyze James Turrell's Skyspace works by applying the object relations theory, compare them with several modern architectural works with a sky window based on the analysis results, and check common and differentiating features between them. The findings were as follows: first, Turrell's Skyspace works shed new light on the images of the sky by projecting inner light to the outside; second, sky windows in architecture make the self-representation of inner space clear through the introjection of light; third, 'Hill of the Buddha' reflects the most general aspect of the object relations theory as the nature of projection found in Turrell's Skyspace is added to it; and finally, Turrell installed event-like spaces and steps in 'Roden Crater' to apply the introjection of others that was deficient in Skyspace.

• 방재와보험
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• s.83
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• pp.14-17
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• 1999

• The tire
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• s.64
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• pp.31-35
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• 1976

• 월간낙농육우
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• s.128
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• pp.67-70
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• 1992

• Journal of the Korean Statistical Society
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• v.22 no.2
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• pp.209-217
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• 1993

The multicollinearity problem in a multiple linear regression model may present deleterious effects on predictions. Thus, its is desirable to consider the optimal fractions with respect to the unbiased estimate of the mean squares errors of the predicted values. Interstingly, the optimal fractions can be also illuminated by the Bayesian inerpretation of the general James-Stein estimators.