Ouyou toukeigaku
Online ISSN : 1883-8081
Print ISSN : 0285-0370
ISSN-L : 0285-0370
Search
Advanced search
OR
Browse
Search
Volume 37, Issue 1
Displaying 1-3 of 3 articles from this issue
Show all abstracts
    • |<
    • <
    • 1
    • >
    • >|
Contributed Paper
  • The Generalized t -Distribution on the Circle
    Hai-Yen Siew, Shogo Kato, Kunio Shimizu
    2008 Volume 37 Issue 1 Pages 1-16
    Published: 2008
    Released on J-STAGE: April 01, 2010
    DOIhttps://doi.org/10.5023/jappstat.37.1
    JOURNAL OPEN ACCESS
    Show abstractHide abstract
    An extended version of t -distribution on the unit circle is generated by conditioning a normal mixture distribution, which is broadened to include not only unimodality and symmetry, but also bimodality and asymmetry, depending on the values of parameters. After reparametrization, the distribution contains four circular distributions as special cases: symmetric Jones-Pewsey, generalized von Mises, generalized cardioid and generalized wrapped Cauchy distributions. As an illustrative example, the proposed model is fitted to the number of occurrences of the thunder in a day.
    View full abstract
    Download PDF (592K)
Statistical Calculaion
Short Note
  • Analysis of Longitudinal Data with Increasing Variance Function
    Kyoko Takizawa, Shingo Shirahata
    2008 Volume 37 Issue 1 Pages 37-52
    Published: 2008
    Released on J-STAGE: April 01, 2010
    DOIhttps://doi.org/10.5023/jappstat.37.37
    JOURNAL OPEN ACCESS
    Show abstractHide abstract
    In our previous paper, we considered a model where the variances and covariances are stable and proposed the analysis of variance procedures. In many practical cases, however, the variances are increasing as the time points are later. In this paper, two models which allow increasing variances are proposed using the notion of autoregression.A method of analyzing longitudinal data taken at equal spaced fixed points is also proposed. Further, a numerical example is given in order to display how our method is applied.
    View full abstract
    Download PDF (693K)
    • |<
    • <
    • 1
    • >
    • >|
feedback
 Top