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

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  Año 2016, Vol. 58, Número 2

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    Scaled Predictor Envelopes and Partial Least-Squares Regression.

    R. Dennis Cook, Zhihua Su

    págs. 155-165

    
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    Bayesian Additive Regression Tree Calibration of Complex High-Dimensional Computer Models.

    M. T. Pratola, David M. Higdon

    págs. 166-179

    
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    Monotonic Quantile Regression With Bernstein Polynomials for Stochastic Simulation.

    Matthias H. Y. Tan

    págs. 180-190

    
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    A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis.

    Kamran Paynabar, Changliang Zou, Peihua Qiu

    págs. 191-204

    
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    Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences.

    Petter Arnesen, Tracy Holsclaw, Padhraic Smyth

    págs. 205-213

    
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    Bayesian Inference for a New Class of Distributions on Equivalence Classes of Three-Dimensional Orientations With Applications to Materials Science.

    Chuanlong Du, Daniel J. Nordman, Stephen B. Vardeman

    págs. 214-224

    
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    Prior-Free Probabilistic Prediction of Future Observations.

    Ryan Martin, Rama T. Lingham

    págs. 225-235

    
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    Quantifying Uncertainty in Lumber Grading and Strength Prediction: A Bayesian Approach.

    Samuel W.K. Wong, Conroy Lum, Lang Wu, James V. Zidek

    págs. 236-243

    
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    Optimum Allocation Rule for Accelerated Degradation Tests With a Class of Exponential-Dispersion Degradation Models.

    Sheng-Tsaing Tseng, I.-Chen Lee

    págs. 244-254

    
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    Comparing the Slack-Variable Mixture Model With Other Alternatives.

    Lulu Kang, Javier Cruz Salgado, William A. Brenneman

    págs. 255-268

    
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    Optimal Experimental Designs in the Flow Rate of Particles.

    Mariano Amo Salas , Elvira Delgado Márquez, Jesús López Fidalgo

    págs. 269-276