Test: An Official Journal of the Spanish Society of Statistics and Operations Research

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  Año 2019, Vol. 28, Número 2

  • Invited Paper

    • Data science, big data and statistics

      Pedro Galeano, Daniel Peña Sánchez de Rivera

      • Resumen

      págs. 289-329

      

  • Original Paper

    • Robust inference for nonlinear regression models

      Ana M. Bianco, Paula M. Spano

      • Resumen

      págs. 369-398

      

    • Modelling covariance matrices by the trigonometric separation strategy with application to hidden Markov models

      Luigi Spezia

      • Resumen

      págs. 399-422

      

    • A plug-in bandwidth selector for nonparametric quantile regression

      Mercedes Conde Amboage, César Andrés Sánchez Sellero

      • Resumen

      págs. 423-450

      

    • Prediction error bounds for linear regression with the TREX

      Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian Müller

      • Resumen

      págs. 451-474

      

    • A stochastic ordering based on the canonical transformation of skew-normal vectors

      Jorge Martín Arevalillo, Hilario Navarro Veguillas

      • Resumen
      • Texto completo

      págs. 475-498

      

    • A new class of tests for multinormality with i.i.d. and garch data based on the empirical moment generating function

      Norbert Henze, María Dolores Jiménez Gamero

      • Resumen

      págs. 499-521

      

    • Prior-free probabilistic interval estimation for binomial proportion

      Hezhi Lu, Hua Jin, Zhining Wang, Chao Chen, Ying Lu

      • Resumen

      págs. 522-542

      

    • A flexible class of parametric distributions for Bayesian linear mixed models

      Mohsen Maleki, Darren Wraith, Reinaldo Boris Arellano-Valle

      • Resumen

      págs. 543-564

      

    • A generalized mixed model for skewed distributions applied to small area estimation

      Monique Graf, J. Miguel Marín, Isabel Molina Peralta

      • Resumen

      págs. 565-597