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Issue Information

Issue Information Volume 37 Number 5 September–October 2021 APPLIED ST OCHASTIC MODELS IN BUSINESS AND INDUSTR Y Volume 37 Number 5 September-October 2021 Applied Stochastic Models in Business and Industry The official journal of the International Society for Business and Industrial Statistics Volume 37 Number 5 September–October 2021 Special Issue: Statistics, Statistical Engineering, and Innovation for Industry 4.0 Guest Editors: Rossella Berni, Jesús Fernando López Fidalgo, and Geoff G. Vining FOREWORD ROSSELLA BERNI, JESÚS FERNANDO LÓPEZ FIDALGO AND GEOFF G. VINING Foreword to the Special Issue on “Statistics, Statistical Engineering, and Innovation for Industry 4.0” 837 SPECIAL ISSUE PAPERS GIACOMO MACULOTTI, GIOVANNI PISTONE AND GRAZIA VICARIO Inference on errors in industrial parts: Kriging and variogram versus geometrical product specifications standard 839 SILVIA FACCHINETTI, SILVIA ANGELA OSMETTI AND UMBERTO MAGAGNOLI Inferential aspects for the optimal selection of the control parameters in Taguchi method 859 RICCARDO BORGONI, CHIARA GALIMBERTI AND DIEGO ZAPPA Identification of spatial defects in semiconductor manufacturing 878 DAIANE APARECIDA ZUANETTI, ROSINEIDE FERNANDO DA PAZ, TALISSON RODRIGUES AND ESEQUIEL MESQUITA Clustering ultrasonic waves propagation time: A hierarchical polynomial semiparametric approach 894 CHRISTIAN CAPEZZA, FABIO CENTOFANTI, ANTONIO LEPORE AND BIAGIO PALUMBO Functional clustering methods for resistance spot welding process data in the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Stochastic Models in Business and Industry Wiley

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Publisher
Wiley
Copyright
© 2021 John Wiley & Sons, Ltd.
ISSN
1524-1904
eISSN
1526-4025
DOI
10.1002/asmb.2553
Publisher site
See Article on Publisher Site

Abstract

Volume 37 Number 5 September–October 2021 APPLIED ST OCHASTIC MODELS IN BUSINESS AND INDUSTR Y Volume 37 Number 5 September-October 2021 Applied Stochastic Models in Business and Industry The official journal of the International Society for Business and Industrial Statistics Volume 37 Number 5 September–October 2021 Special Issue: Statistics, Statistical Engineering, and Innovation for Industry 4.0 Guest Editors: Rossella Berni, Jesús Fernando López Fidalgo, and Geoff G. Vining FOREWORD ROSSELLA BERNI, JESÚS FERNANDO LÓPEZ FIDALGO AND GEOFF G. VINING Foreword to the Special Issue on “Statistics, Statistical Engineering, and Innovation for Industry 4.0” 837 SPECIAL ISSUE PAPERS GIACOMO MACULOTTI, GIOVANNI PISTONE AND GRAZIA VICARIO Inference on errors in industrial parts: Kriging and variogram versus geometrical product specifications standard 839 SILVIA FACCHINETTI, SILVIA ANGELA OSMETTI AND UMBERTO MAGAGNOLI Inferential aspects for the optimal selection of the control parameters in Taguchi method 859 RICCARDO BORGONI, CHIARA GALIMBERTI AND DIEGO ZAPPA Identification of spatial defects in semiconductor manufacturing 878 DAIANE APARECIDA ZUANETTI, ROSINEIDE FERNANDO DA PAZ, TALISSON RODRIGUES AND ESEQUIEL MESQUITA Clustering ultrasonic waves propagation time: A hierarchical polynomial semiparametric approach 894 CHRISTIAN CAPEZZA, FABIO CENTOFANTI, ANTONIO LEPORE AND BIAGIO PALUMBO Functional clustering methods for resistance spot welding process data in the

Journal

Applied Stochastic Models in Business and IndustryWiley

Published: Sep 1, 2021

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