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    CSDA
    2006
    107views more  CSDA 2006»
    Optimal confidence interval for the largest normal mean under heteroscedasticity
    13 years 11 months ago
    Optimal confidence interval for the largest normal mean under heteroscedasticity
    Download  www.acc.ncku.edu.tw
    A two-stage sampling procedure for obtaining an optimal confidence interval for the largest or smallest mean of k independent normal populations is proposed, where the population ...
    Hubert J. Chen, Miin-Jye Wen
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    CSDA
    2006
    84views more  CSDA 2006»
    Three-mode partitioning
    13 years 11 months ago
    Three-mode partitioning
    Download  ppw.kuleuven.be
    The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
    Jan Schepers, Iven Van Mechelen, Eva Ceulemans
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    CSDA
    2006
    138views more  CSDA 2006»
    Automatic dimensionality selection from the scree plot via the use of profile likelihood
    13 years 11 months ago
    Automatic dimensionality selection from the scree plot via the use of profile likelihood
    Download  www.stats.uwaterloo.ca
    Most dimension reduction techniques produce ordered coordinates so that only the first few coordinates need be considered in subsequent analyses. The choice of how many coordinate...
    Mu Zhu, Ali Ghodsi
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    CSDA
    2006
    85views more  CSDA 2006»
    Detecting change-points in multidimensional stochastic processes
    13 years 11 months ago
    Detecting change-points in multidimensional stochastic processes
    Download  www1.fee.uva.nl
    A general test statistic for detecting change-points in multidimensional stochastic processes with unknown parameters is proposed. The test statistic is specialized to the case of...
    Jan G. De Gooijer
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    CSDA
    2006
    66views more  CSDA 2006»
    A dynamic model of expected bond returns: A functional gradient descent approach
    13 years 11 months ago
    A dynamic model of expected bond returns: A functional gradient descent approach
    Download  dse.univr.it
    We propose a multivariate methodology based on Functional Gradient Descent to estimate and forecast time-varying expected bond returns. Backtesting our procedure on US monthly dat...
    Francesco Audrino, Giovanni Barone-Adesi
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    CSDA
    2006
    51views more  CSDA 2006»
    Robust estimation of dimension reduction space
    13 years 11 months ago
    Robust estimation of dimension reduction space
    Download  edoc.hu-berlin.de
    P. Cízek, Wolfgang K. Härdle
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    CSDA
    2006
    84views more  CSDA 2006»
    Extremal financial risk models and portfolio evaluation
    13 years 11 months ago
    Extremal financial risk models and portfolio evaluation
    Download  www.stat.wisc.edu
    It is difficult to find an existing single model which is able to simultaneously model exceedances over thresholds in multivariate financial time series. A new modeling approach, ...
    Zhengjun Zhang, James Huang
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    CSDA
    2006
    142views more  CSDA 2006»
    A studentized range test for the equivalency of normal means under heteroscedasticity
    13 years 11 months ago
    A studentized range test for the equivalency of normal means under heteroscedasticity
    Download  www.acc.ncku.edu.tw
    A studentized range test using a two-stage and a one-stage sampling procedures, respectively, is proposed for testing the hypothesis that the average deviation of the normal means...
    Miin-Jye Wen, Hubert J. Chen
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    CSDA
    2006
    61views more  CSDA 2006»
    An atmosphere-ocean time series model of global climate change
    13 years 11 months ago
    An atmosphere-ocean time series model of global climate change
    Download  www.sterndavidi.com
    Time series models of global climate change tend to estimate a low climate-sensitivity (equilibrium effect on global temperature of doubling carbon dioxide concentrations) and a f...
    David I. Stern
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    CSDA
    2006
    42views more  CSDA 2006»
    Time series clustering based on forecast densities
    13 years 11 months ago
    Time series clustering based on forecast densities
    Download  www.udesa.edu.ar
    A. M. Alonso, J. R. Berrendero, A. Hernánde...
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