ENBIS: European Network for Business and Industrial Statistics
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ENBIS11 in Coimbra
4 – 8 September 2011 Abstract submission: 1 January – 25 June 2011The following abstracts have been accepted for this event:

On Assessing Performance of Sequential Procedures
Authors: Ron S. Kenett(1) Moshe Pollak(2)
Affiliation: (1) KPA Ltd., Raanana, Israel and University of Torino, Turin, Italy (2) The Hebrew University, Jerusalem, Israel
Primary area of focus / application: Process
Keywords: Average Run Length , Probability of False Alarm , Conditional Expected Delay , Statistical Process Control.
When considering false alarms, a quantity of interest is Pin control(T=nTn), the probability that a stopping time T will raise a false alarm at time n, conditional on its not having raised a false alarm previously. This may depend on n, so the worstcase scenario is indexed by supn<∞ Pin control(T=nTn), and one may want to keep this quantity low.
Often, the postchange ARL is characterized by ARL1, the ARL to detection assuming that the change is in effect at the very start. However, CED(τ ) = E τ{(T − τ )+ T ≥ τ}, the conditional expected delay of detection conditional on a false alarm not having been raised before the (unknown) time of change , may depend on , and there is no guarantee that CED as a function of is represented well by ARL1. If one has no anticipation of the time of change, sup<∞ Pin control(T=T) would be an appropriate index (and often it is equal to ARL1). If one feels that there is a good chance that a change will be in effect right at the start, one may be interested in a fast initial response scheme, where CED(0) is made to be low, at the expense of a higher CED at later , so that ARL1 does not tell the whole story) . If one feels that a change is likely to take place in a distant future, then lim∞CED(τ ) may be of interest.
We will review the role of various operating characteristics in assessing performance of sequential procedures in comparison to ARL0 and ARL1. 
A Semiinfinite Programming Based Algorithm to Handle Minimax Doptimal Designs for Logistic Models
Authors: Belmiro P.M. Duarte, Weng Kee Wong
Affiliation: Department of Chemical and Biological Engineering, ISEC; Department of Biostatistics, UCLA School of Public Health
Primary area of focus / application: Design and analysis of experiments
Keywords: Optimal designs , Minimax Doptimal , General Equivalence Theorem , Semiinfinite programming , Logistic model
In this work, we use a semiinfinite programming based algorithm and tools from the general algebraic modeling system (GAMS) to find minimax optimal designs for a variety of models. We show that our noniterative procedure is able to find the optimal designs efficiently and they coincide with the small number of theoretical optimal minimax designs reported in the literature. The implication is that our method seems to work and applicable to more complicated statistical models and problems. Several illustrative applications using logistic models for a binary response are provided. 
Kernel estimator for the bias correction of a monitoring system
Authors: Giuseppe Curcurù, Ph. D. in Logistics; g.curcuru@unipa.it Alberto Lombardo, Full Professor in Statistics; alberto.lombardo@unipa.it
Affiliation: Dipartimento di Ingegneria Industriale – Università di Palermo
Primary area of focus / application: Metrology & measurement systems analysis
Keywords: Kernel estimator , monitoring system , degradation , transfer function
The proposed approach can be useful to monitor the performances of a real monitoring system in the attempt of extending its natural lifetime and/or avoiding an underestimate of the degradation process under study. Results are presented by some simulated examples. 
Calculating Run Length Quantiles with the R Library spc  Go Beyond the Famous and Simple ARL
Authors: Sven Knoth
Affiliation: Department of Mathematics and Statistics, Helmut Schmidt University Hamburg, Germany
Primary area of focus / application: Process
Keywords: spc , control charts , run length quantiles , statistics software , numerical methods
Submitted at 20May2011 15:50 by Sven Knoth
Accepted

Random Events in Safety Critical Maintenance: A Myth?
Authors: Chris McCollin Tony Sackfield
Affiliation: Nottingham Trent University
Primary area of focus / application: Reliability
Keywords: Maintenance modelling , NHPP with Weibull intensity , Exponential distribution , Extended models

GWSDAT (GroundWater Spatiotemporal Data Analysis Tool)
Authors: Wayne R. Jones (Wayne.W.Jones@shell.com)
Affiliation: Shell Statistics & Chemometrics
Primary area of focus / application: Business
Keywords: "Environmental monitoring", , "spatiotemporal modelling" , "application development" , "Sampling" , "Software"
Submitted at 24May2011 17:27 by Wayne Jones
Accepted
In this presentation we shall discuss the underlying statistical methods and demonstrate GWSDAT functionality which includes:
• User friendly GUI (Graphical User Interface).
• Time series, spatial and Spatiotemporal trend detection.
• Automatic report generation.