Technometrics: A journal of statistics for the physical, chemical and engineering sciences

• 

  Año 2019, Vol. 61, Número 2

  • Variable Selection for the Prediction of C[0,1]-Valued Autoregressive Processes using Reproducing Kernel Hilbert Spaces

    Beatriz Bueno Larraz, Johannes Klepsch

    págs. 139-153

    

  • Assessing Tuning Parameter Selection Variability in Penalized Regression

    Wenhao Hu, Eric B. Laber, Clay Barker, Leonard A. Stefanski

    págs. 154-164

    

  • On Data Integration Problems With Manifolds

    Mark V. Culp, Kenneth J. Ryan, Prithish Banerjee, Michael Morehead

    págs. 165-175

    

  • Convex Bidirectional Large Margin Classifiers

    Zhengling Qi, Yufeng Liu

    págs. 176-186

    

  • Inference for Errors-in-Variables Models in the Presence of Systematic Errors with an Application to a Satellite Remote Sensing Campaign

    Bohai Zhang, Noel Cressie, Debra Wunch

    págs. 187-201

    

  • Gaussian Process Modeling Using the Principle of Superposition

    Matthias H. Y. Tan, Guilin Li

    págs. 202-218

    

  • Constructing Two-Level Designs by Concatenation of Strength-3 Orthogonal Arrays

    Alan R. Vazquez, Peter Goos, Eric D. Schoen

    págs. 219-232

    

  • Bayesian Analysis of Accumulated Damage Models in Lumber Reliability

    Chun-Hao Yang, James V. Zidek, Samuel W.K. Wong

    págs. 233-245

    

  • Material Degradation Modeling and Failure Prediction Using Microstructure Images

    Wujun Si, Qingyu Yang, Xin Wu

    págs. 246-258

    

  • Efficient Integration of Sufficient Dimension Reduction and Prediction in Discriminant Analysis

    Xin Zhang, Qing Mai

    págs. 259-272