INFERENCES BASED ON THE GROUPED OBSERVATIONS FROM THE BIVARIATE POWER-NORMAL DISTRIBUTION

    • Hamasaki Toshimitsu
    • Clinical Statistics Group, Biometrics, Central Research Clinical Development Japan, Pfizer Pharmaceuticals Inc.
    • Goto Masashi
    • Department of Informatics and Mathematical Science, Graduate School of Engineering Sciences, Osaka University

Abstract

In this paper, we have investigated the relationship between the two variables in which observations of the two variables were grouped into several intervals, when the bivariate power-normal distribution proposed by Goto et al. (1980) were fitted to these observations. The results of some numerical examples showed that the bivariate powernormal distribution would be helpful to "regularize" the observations even when the strict bivariate normality was not achieved. Also, a bivariate normal problem was considered in the framework developed in fitting the bivariate power-normal distribution to the grouped observations.

Journal

Journal of the Japanese Society of Computational Statistics   [List of Volumes]

Journal of the Japanese Society of Computational Statistics 11(1), 95-119, 1998-12  [Table of Contents]

Japanese Society of Computational Statistics

References:  46

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Cited by:  4

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Codes

  • NII Article ID (NAID) :
    110001235568
  • NII NACSIS-CAT ID (NCID) :
    AA10823693
  • Text Lang :
    ENG
  • Article Type :
    Journal Article
  • ISSN :
    09152350
  • Databases :
    CJP  CJPref  NII-ELS 

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