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Monitoring bivariate and trivariate mean vectors with a Shewhart chart Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Roberto Campos Leoni, Antonio Fernando Branco Costa
  • Published Date: May 26, 2017

Abstract In this article, we propose the use of the mean chart to control multivariate processes. The basic idea is to control the mean vector of bivariate (X, Y) and...

A comparison of advanced regression techniques for predicting ship CO 2 emissions Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Antonio Lepore, Marco Seabra Reis, Biagio Palumbo, Ricardo Rendall, Christian Capezza
  • Published Date: May 25, 2017

Abstract The new EU Regulation urges shipping operators to set up systems for the monitoring, reporting, and verification of CO2 emissions. Indeed, new monitoring data acquisition...

What We can Learn About the Behaviour of Firms from the Average Monthly Frequency of Price‐Changes: An Application to the UK CPI Data Early View

  • Journal: Oxford Bulletin of Economics and Statistics
  • Authors: Huw David Dixon, Kun Tian
  • Published Date: May 24, 2017

Abstract The monthly frequency of price‐changes is a prominent feature of many studies of the CPI micro‐data. In this paper, we see what the frequency implies for the...

Bivariate geostatistical modelling of the relationship between Loa loa prevalence and intensity of infection Early View

  • Journal: Environmetrics
  • Authors: Emanuele Giorgi, Daniela K. Schlüter, Peter J. Diggle
  • Published Date: May 24, 2017

Loiasis is a neglected tropical disease (NTD) caused by the parasitic roundworm Loa loa. A challenge faced by current multinational programmes to control two other diseases, namely, lymphatic...

Selecting the selector: Comparison of update rules for discrete global optimization Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: James Theiler, Beate G. Zimmer
  • Published Date: May 24, 2017

We compare some well‐known Bayesian global optimization methods in four distinct regimes, corresponding to high and low levels of measurement noise and to high and low levels of “quenched...

Ensemble simulations of inertial confinement fusion implosions Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Ryan Nora, Jayson Luc Peterson, Brian Keith Spears, John Everett Field, Scott Brandon
  • Published Date: May 24, 2017

The achievement of inertial confinement fusion ignition on the National Ignition Facility relies on the collection and interpretation of a limited (and expensive) set of experimental data....

Imperfect Information and Consumer Inflation Expectations: Evidence from Microdata Early View

  • Journal: Oxford Bulletin of Economics and Statistics
  • Authors: Lena Dräger, Michael J. Lamla
  • Published Date: May 22, 2017

Abstract This paper explores which factors trigger an adjustment in consumers’ inflation expectations and looks at the implications regarding forecast errors. We find...

An adaptive degradation‐based maintenance model taking into account both imperfect adjustments and AGAN replacements Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Christophe Letot, Pierre Dehombreux, Guillaume Fleurquin, Arnaud Lesage
  • Published Date: May 22, 2017

Abstract This paper presents an adaptive maintenance model for equipment that can be adjusted (minor preventive maintenance, imperfect state) or replaced (major preventive...

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