• Title/Summary/Keyword: statistical analysis.

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Bayesian Analysis of GLEM with Half-Normal Prior

  • Bhattacharya, Samir K.;Lal, Ram
    • Journal of the Korean Statistical Society
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    • v.14 no.2
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    • pp.95-99
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    • 1985
  • In this paper, Bayesian analysiss of the general linear econometric model is carried out by using a multinomal prior for the vector of unknown regression coefficents and a half-normal prior for the standard deviation of the disturbances.

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Reliability Expression for Complex System

  • Seong Cheol Lee
    • Communications for Statistical Applications and Methods
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    • v.3 no.3
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    • pp.125-133
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    • 1996
  • In this paper, we present a algebraic technique for computing system reliability for complex system. The method was originally developed as an aid to fault tree analysis but it applies to general problems of reliability assessment. A success expression which directly gives the reliability expression is formed and simplified by the procedure. Several algorithms and examples are illustrated.

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Bayesian and Empirical Bayesian Prediction Analysis for Future Observation

  • Jeong Hwan Ko
    • Communications for Statistical Applications and Methods
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    • v.4 no.2
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    • pp.465-471
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    • 1997
  • This paper deals with the problems of obtaining some Bayesian and empirical Bayesian Predictive densities and prediction intervals of a future observation $X_{(\tau+\gamma)}$ in the Rayleigh distribution. Using an inverse gamma prior distribution, some prodictive densities and prodiction intervals are proposed and studied. Also the behaviors of the proposed results are examined via numerical examples.

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A New Deletion Criterion of Principal Components Regression with Orientations of the Parameters

  • Lee, Won-Woo
    • Journal of the Korean Statistical Society
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    • v.16 no.2
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    • pp.55-70
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    • 1987
  • The principal components regression is one of the substitues for least squares method when there exists multicollinearity in the multiple linear regression model. It is observed graphically that the performance of the principal components regression is strongly dependent upon the values of the parameters. Accordingly, a new deletion criterion which determines proper principal components to be deleted from the analysis is developed and its usefulness is checked by simulations.

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Poll System using E-mails

  • Kim, Yon Hyong;Oh, Min Gweon
    • Communications for Statistical Applications and Methods
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    • v.8 no.3
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    • pp.767-775
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    • 2001
  • In this paper we propose a poll system using e-mail. This system expects to increase the response ratio because of including a questionnaire inner e-mail. Especially, this system automatically provides a general paper which is a result of categorical data analysis.

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Discriminant Analysis with Icomplete Pattern Vectors

  • Hie Choon Chung
    • Communications for Statistical Applications and Methods
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    • v.4 no.1
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    • pp.49-63
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    • 1997
  • We consider the problem of classifying a p x 1 observation into one of two multivariate normal populations when the training smaples contain a block of missing observation. A new classification procedure is proposed which is a linear combination of two discriminant functions, one based on the complete samples and the other on the incomplete samples. The new discriminant function is easy to use.

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