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Sökning: WFRF:(Hyodo T.)

  • Resultat 1-4 av 4
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1.
  • 2017
  • swepub:Mat__t
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2.
  • Patrignani, C., et al. (författare)
  • REVIEW OF PARTICLE PHYSICS : Particle Data Group
  • 2016
  • Ingår i: Chinese Physics C. - : IOP Publishing. - 1674-1137 .- 2058-6132. ; 40:10
  • Tidskriftsartikel (refereegranskat)abstract
    • The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 3,062 new measurements from 721 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as supersymmetric particles, heavy bosons, axions, dark photons, etc. All the particle properties and search limits are listed in Summary Tables. We also give numerous tables, figures, formulae, and reviews of topics such as Higgs Boson Physics, Supersymmetry, Grand Unified Theories, Neutrino Mixing, Dark Energy, Dark Matter, Cosmology, Particle Detectors, Colliders, Probability and Statistics. Among the 117 reviews are many that are new or heavily revised, including new reviews on Pentaquarks and Inflation. The complete Review is published online in a journal and on the website of the Particle Data Group (http://pdg.lbl.gov). The printed PDG Book contains the Summary Tables and all review articles but no longer includes the detailed tables from the Particle Listings. A Booklet with the Summary Tables and abbreviated versions of some of the review articles is also available.
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3.
  • Hyodo, M., et al. (författare)
  • Testing block-diagonal covariance structure for high-dimensional data
  • 2015
  • Ingår i: Statistica Neerlandica. - : Wiley-Blackwell. - 0039-0402 .- 1467-9574. ; 69:4, s. 460-482
  • Tidskriftsartikel (refereegranskat)abstract
    • A test statistic is developed for making inference about a block-diagonal structure of the covariance matrix when the dimensionality p exceeds n, where n = N - 1 and N denotes the sample size. The suggested procedure extends the complete independence results. Because the classical hypothesis testing methods based on the likelihood ratio degenerate when p > n, the main idea is to turn instead to a distance function between the null and alternative hypotheses. The test statistic is then constructed using a consistent estimator of this function, where consistency is considered in an asymptotic framework that allows p to grow together with n. The suggested statistic is also shown to have an asymptotic normality under the null hypothesis. Some auxiliary results on the moments of products of multivariate normal random vectors and higher-order moments of the Wishart matrices, which are important for our evaluation of the test statistic, are derived. We perform empirical power analysis for a number of alternative covariance structures.
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4.
  • Shutoh, N., et al. (författare)
  • Constrained linear discriminant rule via the Studentized classification statistic based on monotone missing data
  • 2012
  • Ingår i: SUT Journal of Mathematics. - 0916-5746. ; 48:1, s. 55-69
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper provides an asymptotic expansion for the distribution of the Studentized linear discriminant function with k-step monotone missing training data. It turns out to be a certain generalization of the results derived by Anderson [1] and Shutoh and Seo [12]. Furthermore we also derive the cutoff point constrained by a conditional probability of misclassification using the idea of McLachlan [8]. Finally we perform Monte Carlo simulation to evaluate our results.
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  • Resultat 1-4 av 4

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