Ouyou toukeigaku
Online ISSN : 1883-8081
Print ISSN : 0285-0370
ISSN-L : 0285-0370
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Volume 36, Issue 1
Displaying 1-3 of 3 articles from this issue
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  • Fourier Analysis of Irregularly Spaced Data on Rd
    Yasumasa Matsuda, Yoshihiro Yajima
    2007 Volume 36 Issue 1 Pages 1-14
    Published: August 30, 2007
    Released on J-STAGE: June 12, 2009
    DOIhttps://doi.org/10.5023/jappstat.36.1
    JOURNAL FREE ACCESS
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    The purpose of this paper is to propose a frequency domain approach for irregularly spaced data on Rd. We extend the original definition of the periodogram for time series to that for irregularly spaced data and define nonparametric and parametric spectral density estimators in a way similar to the classical approach. Introduction of the mixed asymptotics employed in Hall and Patil (1994) makes it possible to provide asymptotic theories to the spectral estimators. The asymptotic result for the parametric one is regarded as a natural extension of the classical result for regularly spaced data obtained by Dunsmuir (1979) and Dahlhaus and Künsch (1987) to that for irregularly spaced data. Empirical studies are also included to illustrate the frequency domain approach.
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  • The Role of Randomization in Clinical Trials
    Ichiro Arano, Toshimitsu Hamasaki, Tomoyuki Sugimoto
    2007 Volume 36 Issue 1 Pages 15-30
    Published: August 30, 2007
    Released on J-STAGE: December 02, 2009
    DOIhttps://doi.org/10.5023/jappstat.36.15
    JOURNAL FREE ACCESS
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    The major objective of a comparative clinical trial is to unambiguously identify (or not) a treatment effect and assess its magnitude. Random allocation of treatments is essential in designing a trial to achieve the objective efficiently under limited resources. The history, role, issues, and controversies surrounding the application of random allocation in clinical trials are reviewed. In conclusion, the reasons why random allocation is necessary and essential in clinical trials are discussed. Furthermore, the reasons why random allocation is necessary and essential in clinical trials are discussed.
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  • Estimation of Regression Lines through the Focal Point and Related Theories
    Nagatomo Nakamura, Takahiro Tsuchiya
    2007 Volume 36 Issue 1 Pages 31-50
    Published: August 30, 2007
    Released on J-STAGE: June 12, 2009
    DOIhttps://doi.org/10.5023/jappstat.36.31
    JOURNAL FREE ACCESS
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    This paper discusses two kinds of regression models, namely the model of regression lines through the focal point (RLF) and the model of regression line through the origin (RLO). The focal point will change according to the conditions of the experiments or the measurement site, so it will be estimated together with regression coefficients. Considering the experimental conditions, four models are proposed and the best model among them is selected by AIC. The models are verified by numerical experiments, and are applied to the wind-blown sand data.
    Especially, as RLO has the unique characteristics of not necessarily crossing a centroid, it is different to the ordinal regression line. For this reason, some related theories and relationship with RLF and RLO are discussed.
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