ON SOME ROLES OF KNOWLEDGE FUNCTIONS IN STATISTICAL SOFTWARE
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- KURIHARA Koji
- Department of Statistics, College of Liberal Arts and Sciences, Okayama University
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抄録
One of the most important roles to be filled in statistical software is to serve a user with useful statistical knowledge as a teaching or system lead software. In this paper, some properties of methodologies are numerically evaluated by algorithms based on Monte Carlo technique for the assistance of statistical data analysis in such statistical knowledge. These techniques are prepared to investigate or to learn the methodologies under a variety of conditions and assumptions. These functions are realized in statistical software NISAN by authors, and the properties of methodologies, power functions, relative efficiency, overall significance level of a test process and stability and reliability of artalyzed output are given to illustrate the numerical evaluation under complicated situations.
収録刊行物
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- Journal of the Japanese Society of Computational Statistics
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Journal of the Japanese Society of Computational Statistics 3 (1), 35-44, 1990-12
日本計算機統計学会
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詳細情報
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- CRID
- 1571698601861180160
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- NII論文ID
- 110001235579
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- NII書誌ID
- AA10823693
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- ISSN
- 09152350
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- 本文言語コード
- en
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- データソース種別
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- CiNii Articles