ENBIS: European Network for Business and Industrial Statistics
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ENBIS7 in Dortmund
24 – 26 September 2007The following abstracts have been accepted for this event:

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.