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

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  Año 2018, Vol. 60, Número 4

  • Permutation and Grouping Methods for Sharpening Gaussian Process Approximations

    Joseph Guinness

    págs. 415-429

    

  • Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets

    Rajarshi Guhaniyogi, Sudipto Banerjee

    págs. 430-444

    

  • Using History Matching for Prior Choice

    Xueou Wang, David J. Nott, Christopher C. Drovandi, Kerrie Mengersen, Michael Evans

    págs. 445-460

    

  • Degradation in Common Dynamic Environments

    Qingqing Zhai, Zhi-Sheng Ye

    págs. 461-471

    

  • Sequential Bayesian Design for Accelerated Life Tests

    I.-Chen Lee, Yili Hong, Sheng-Tsaing Tseng, Tirthankar Dasgupta

    págs. 472-483

    

  • Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes

    Raed Kontar, Shiyu Zhou, Chaitanya Sankavaram, Xinyu Du, Yilu Zhang

    págs. 484-496

    

  • Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data

    Alessandra Menafoglio, Marco Grasso, Piercesare Secchi, Bianca M. Colosimo

    págs. 497-510

    

  • Nonparametric Finite Mixture of Gaussian Graphical Models

    Kevin H. Lee, Lingzhou Xue

    págs. 511-521

    

  • Efficient Blind Image Deblurring Using Nonparametric Regression and Local Pixel Clustering

    Yicheng Kang, Partha Sarathi Mukherjee, Peihua Qiu

    págs. 522-531

    

  • Bayesian Model Building From Small Samples of Disparate Data for Capturing In-Plane Deviation in Additive Manufacturing

    Arman Sabbaghi, Qiang Huang, Tirthankar Dasgupta

    págs. 532-544

    

  • Analysis of Repeatability and Reproducibility Studies With Ordinal Measurements

    Stacey L. Culp, Kenneth J. Ryan, Juan Chen, Michael S. Hamada

    págs. 545-556