ON SOME ROLES OF KNOWLEDGE FUNCTIONS IN STATISTICAL SOFTWARE

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Author(s)

    • KURIHARA Koji
    • Department of Statistics, College of Liberal Arts and Sciences, Okayama University

Abstract

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.

Journal

  • Journal of the Japanese Society of Computational Statistics

    Journal of the Japanese Society of Computational Statistics 3(1), 35-44, 1990-12

    Japanese Society of Computational Statistics

Codes

  • NII Article ID (NAID)
    110001235579
  • NII NACSIS-CAT ID (NCID)
    AA10823693
  • Text Lang
    ENG
  • ISSN
    09152350
  • Data Source
    NII-ELS 
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