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      KCI등재후보

      2차원 데이터의 여러 가지 분석방법

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      https://www.riss.kr/link?id=A99654188

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      다국어 초록 (Multilingual Abstract)

      Modelling for failures is important for reliability analysis since failures of products such as automobiles occur as both time and usage progress and the results from the proper analysis of the two-dimensional data can be used for establishing warranty assurance policy. Hence, in this paper general issues which concern modelling failures are discussed, and both one-dimensional approaches and two-dimensional approaches to two-dimensional data are investigated. Finally non-parametric approaches to
      two-dimensional data are presented as a means of exploratory data analyses.
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      Modelling for failures is important for reliability analysis since failures of products such as automobiles occur as both time and usage progress and the results from the proper analysis of the two-dimensional data can be used for establishing warrant...

      Modelling for failures is important for reliability analysis since failures of products such as automobiles occur as both time and usage progress and the results from the proper analysis of the two-dimensional data can be used for establishing warranty assurance policy. Hence, in this paper general issues which concern modelling failures are discussed, and both one-dimensional approaches and two-dimensional approaches to two-dimensional data are investigated. Finally non-parametric approaches to
      two-dimensional data are presented as a means of exploratory data analyses.

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      목차 (Table of Contents)

      • Abstract
      • 1. Introduction
      • 2. Modelling Failures
      • 3. One dimensional approach to two-dimensional data
      • 4. Two dimensional approach to two dimensional data
      • Abstract
      • 1. Introduction
      • 2. Modelling Failures
      • 3. One dimensional approach to two-dimensional data
      • 4. Two dimensional approach to two dimensional data
      • 5. Exploratory Data Analysis for two dimensional approach
      • 6. Conclusions
      • References
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