ENBIS: European Network for Business and Industrial Statistics
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Overview of all Abstracts
The following PDF contains the Abstractbook as it will be handed out at the conference. It is only here for browsing and maybe later reference. All abstracts as PDF
The following abstracts have been accepted for this event:

Bayesian Network in Customer Satisfaction Survey
Authors: Silvia Salini (1), Ron Kenett (2)
Primary area of focus / application:
Submitted at 2Sep2007 14:38 by
Accepted
variables and their probabilistic dependencies. Formally, Bayesian Networks are
directed acyclic graphs whose nodes represent variables, and whose arcs encode the
conditional dependencies between the variables. Nodes can represent any kind of
variable, be it a measured parameter, a latent variable or a hypothesis. They are
not restricted to representing random variables, which forms the "Bayesian" aspect
of a Bayesian network. Efficient algorithms exist that perform inference and
learning in Bayesian Networks. Bayesian Networks that model sequences of variables
are called
Dynamic Bayesian Networks. Harel et. al (2007) provide a comparison between Markov
Chains and Bayesian Networks in the analysis of web usability from ecommerce data.
A comparison of regression models, SEMs, and Bayesian networks is presented Anderson
et. al (2004).
In this paper we apply Bayesian Networks to the analysis of Customer Satisfaction
Surveys and we demonstrate the potential of the approach. Bayesian Networks offer
advantages in implementing managerially focused models over other statistical
techniques designed primarily for evaluating theoretical models. These advantages
are providing a causal explanation using observable variables within a single
multivariate model and analysis of nonlinear relationships contained in ordinal
measurements. Other advantages include the ability to conduct probabilistic
inference for prediction and diagnostics with an output metric that can be
understood by managers and academics.
Affiliations:
(1) Department of Economics, Business and Statistics
University of Milan, Italy
(2) KPA Ltd., Israel and University of Torino, Torino, Italy

New Adaptive EWMA Control Charts
Authors: Seiichi YASUI, Yoshikazu OJIMA (Tokyo University of Science, Japan)
Primary area of focus / application:
Submitted at 3Sep2007 03:03 by
Accepted
for detecting small shifts than the Shewhart type control charts. Furthermore, the
average time to detecting shifts can be shorter, if the sampling interval and/or the
sample size is changed depending on the value of statistics is applied to an EWMA
control chart. In an EWMA control chart, the plotted statistic is the weighted
average of the previous plotted statistic and the current observation, hence, the
weight can also be changed depending on the value of plotted statistics. In this
study, the adaptive procedure for the weight in an EWMA control chart is proposed.
The proposed adaptive EWMA control chart has warning limits and control limits. If
the plotted statistic exceeds the warning limit, weighting is changed. We evaluate
the performance for detecting several outofcontrol situations through Monte Carlo
method. The adaptive EWMA control is more powerful for detecting small shift than
the traditional EWMA control chart.

The use of the bootstrap in the analysis of the 12run PlackettBurman design.
Authors: Anthony Cossari
Primary area of focus / application:
Submitted at 3Sep2007 10:14 by
Accepted

The estimation of the role of system & statistical thinking in decision making.
Authors: Adler Yu., Hunuzidi E. and Shper V.
Primary area of focus / application:
Submitted at 3Sep2007 10:21 by Vladimir Shper
Accepted

A Control Chart for the Desirability Index
Authors: Heike Trautmann and Claus Weihs (University of Dortmund, Dortmund, Germany)
Primary area of focus / application:
Submitted at 4Sep2007 12:21 by
Accepted
industrial quality control, which includes apriori preferences of the
decision makers regarding the quality criteria and transforms the
multiobjective into a univariate problem. Settings of the process
influencing factors are selected that lead to the highest possible DI
value and therefore to maximum process quality. Until now the DI was
solely used for optimization purposes. A straightforward question
however is if the maximum DI value can be maintained in the ongoing
process. For this purpose a DI control chart is introduced, which proves
to be superior compared to existing charts. Additionally an innovative
procedure for the analysis of outofcontrol signals is presented. 
Accuracy of the EndtoEnd performance estimation in logistic service environments
Authors: KlausRuediger Knuth (Quotas GmbH, Hamburg, Germany)
Primary area of focus / application:
Submitted at 4Sep2007 13:12 by
Accepted
The result of the measurement can take for example the following form:
"In 2005 95% of all letters sent from sender panellists have been received by receiver panellists on the next day of service".
All measurement systems are sized according to given accuracy requirements. Basis is an appropriate estimation of the variance of the ontime performance estimator.
CEN, the European standardisation network, has almost finished the devellopment of recommendations on the calculation of this variance. Special difficulties that have to be overcome were:
· All items for any sender, any receiver and any senderreceiver relation may be correlated;
· Ontime performance is usually on a level well above 90% where simple normal approximation is weak;
· The sampling design is usually disproportional leading to weighted results.
Specifics: Oral presentation 
Monitoring Nonlinear Profiles using Support Vector Machines
Authors: Stelios Psarakis, Javier M. Moguerza and Alberto Munoz
Primary area of focus / application:
Submitted at 4Sep2007 15:30 by
Accepted

On using bootstrap methods for understanding empirical loss data and dynamic financial analysis
Authors: Grigore ALBEANU (UNESCO Chair in Information Technologies at University of Oradea), Henrik Madsen (IMM, DTU), Manuela Ghica (Spiru Haret University), Poul Thyregod (IMM, DTU) and F. PopentiuVladicescu (Univ. of Oradea)
Primary area of focus / application:
Submitted at 4Sep2007 15:34 by
Accepted
References
[1] Efron B., ComputerIntensive Methods in Statistical Regression, Siam Review, 30, 3, 421449, (1988).
[2] Hogg, R.V. and Klugmsn S.A,: Loss distributions, John Wiley & Sons, New York, 1984.
[3] Kaufmann R., Gadmer A. and Kett R.: Introduction to dynamic functional analysis, ETH Zurich, IFOR, 1999, http://www.ifor.math.ethz.ch/publications/1999_dynamicfinancialanalysis.pdf .
[4] Albeanu G.: Resampling Simultaneous Confidence Bands for Nonlinear Explicit Regression Models, Mathematical Reports, 50(56), 289295, (1998).
[5] Albeanu G. and Popentiu F.: On the Bootstrap Method: Software Reliability Assessment and Simultaneous Confidence Bands, Annals of Oradea University, Energetics Series, 7(1), 109113, (2001).
[6] Manuela Ghica.: A risk exchange model with a mixture exponential utility function, Annals of Spiru Haret University, Mathematics and Informatics Series, 2006.

Investigating the Impact on Product Quality of Raw Material Variability for a Chemical Process: A DoE Approach
Authors: Ewan Polwart (Fujifilm Imaging Colorants Ltd)
Primary area of focus / application:
Submitted at 5Sep2007 07:43 by
Accepted
materials is important in specification setting, establishing critical
parameters and for process understanding for chemical and biochemical
processes. Where historical data exists on the raw material variability it
is possible to consider this to look at the impact on product quality.
Where changes in the process and / or product grade occur datamining may
prove infeasible and experimental design may be a more suitable alternative.
This paper will present one possible strategy for carrying out such an
experimental design that exploits the inherent correlation within the
characteristics of the raw material to give a usefully small number of
experiments. Principle component analysis (PCA) was applied to the
historical chemical analysis data for the raw material. Doptimal
experimental design was applied to the principle component scores to select
batches for inclusion in the DoE. 
Why DoE is not widely used among engineers in Europe?
Authors: Martín Tanco; Elisabeth Viles; María Jesus Alvarez; Laura Ilzarbe
Primary area of focus / application:
Submitted at 5Sep2007 08:59 by
Accepted
A vast bibliographic study was carried out for detecting the barriers for why DoE is not widely used among engineers in Europe. The barriers detected were firstly grouped and reduced into sixteen groups. Afterwards, a brief survey was carried out to obtain firsthand information about the importance of each barrier. Four different initiatives were carried out in April 2007 for obtaining response from ENBIS members, which allow us not only to access academician but also practitioners interested in DoE. It was mainly an online survey, which is still available on the web at the following direction: http://examinador.tecnun.es/mtanco/encuesta.asp.
We introduce in the following work a deep statistical analysis of the mentioned survey. The most important intended goal of our research is to rank and group the barriers in order to suggest some ideas or solutions to allow DoE become closer to industries. We believe our conclusions will help to identify pitfalls and generate a realm of discussion of the situation in Europe.