Computational statistics & data analysis: The official journal of the International Association for Statistical Computing

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  Año 2006, Número 8

  • On the estimation of the stereotype regression model

    Oliver Kuss

    págs. 1877-1890

    

  • Calibrated FFT-based density approximations for -stable distributions

    Svetlozar T. Rachev, Christian Menn

    págs. 1891-1904

    

  • Using principal components for estimating logistic regression with high-dimensional multicollinear data

    Ana María Aguilera del Pino, Mariano J. Valderrama, Manuel Escabias

    págs. 1905-1924

    

  • Relative density of the random r-factor proximity catch digraph for testing spatial patterns of segregation and association

    Elvan Ceyhan, Carey E. Priebe, John C. Wierman

    págs. 1925-1964

    

  • Data-driven boundary estimation in deconvolution problems

    Irène Gijbels, A. Delaigle

    págs. 1965-1994

    

  • Regional residual plots for assessing the fit of linear regression models

    O. Thas, J.P. Ottoy, E. Deschepper

    págs. 1995-2013

    

  • Bounding maximum likelihood estimates based on incomplete ordered data

    Arturo J. Fernández

    págs. 2014-2027

    

  • Data analysis using regression models with missing observations and long-memory: an application study

    Hector Jorquera, Pilar Iglesias, Wilfredo Palma

    págs. 2028-2043

    

  • Conditional log-linear structures for log-linear modelling

    Sung-Ho Kim

    págs. 2044-2064

    

  • Multivariate distribution models with generalized hyperbolic margins

    Eric Stützle, Tomas Hrycej, Rafael Schmidt

    págs. 2065-2096

    

  • Self-organizing map visualizing conditional quantile functions with multidimensional covariates

    Timo Similä

    págs. 2097-2110

    

  • On the permutation test in canonical correlation analysis

    Takakazu Sugiyama, Tomoya Yamada

    págs. 2111-2123

    

  • Discontinuities in indirect estimation: An application to EAR models

    Giorgio Calzolari, Francesca Di Iorio

    págs. 2124-2136