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

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  Año 2019, Vol. 61, Número 4

  • Empirical Dynamic Quantiles for Visualization of High-Dimensional Time Series

    Daniel Peña Sánchez de Rivera, Ruey S. Tsay, Ruben Zamar

    págs. 429-444

    

  • A Decomposition of Total Variation Depth for Understanding Functional Outliers

    Huang Huang, Ying Sun

    págs. 445-458

    

  • MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers

    Mia Hubert, Peter J. Rousseeuw, Wannes Van Den Bossche

    págs. 459-473

    

  • Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding

    Dario Azzimonti, David Ginsbourger, Jérémy Rohme, Déborah Idier

    págs. 474-493

    

  • Spatial Signal Detection Using Continuous Shrinkage Priors

    An-Ting Jhuang, Montserrat Fuentes, Jacob L. Jones, Giovanni Esteves, Chris M. Fancher, Marschall Furman, Brian J. Reich

    págs. 494-506

    

  • Mixture of Regression Models for Large Spatial Datasets

    Karen Kazor, Amanda S. Hering

    págs. 507-523

    

  • Central Composite Experimental Designs for Multiple Responses With Different Models

    Wilmina M. Marget, Max D. Morris

    págs. 524-532

    

  • Optimal Experimental Design in the Presence of Nested Factors

    Peter Goos, Bradley Jones

    págs. 533-544

    

  • Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization

    Simon Mak, C.F. Jeff Wu

    págs. 545-559