Table Of ContentStudies in Classification, Data Analysis,
and Knowledge Organization
Nadja Bauer · Katja Ickstadt ·
Karsten Lübke · Gero Szepannek ·
Heike Trautmann · Maurizio Vichi Editors
Applications
in Statistical
Computing
From Music Data Analysis
to Industrial Quality Improvement
fi
Studies in Classi cation, Data Analysis,
and Knowledge Organization
Managing Editors Editorial Board
WolfgangGaul, Karlsruhe, Germany DanielBaier, Bayreuth, Germany
Maurizio Vichi, Rome,Italy FrankCritchley, MiltonKeynes, UK
ClausWeihs, Dortmund, Germany ReinholdDecker, Bielefeld, Germany
Edwin Diday, Paris,France
Michael Greenacre, Barcelona,Spain
CarloNatale Lauro,Naples, Italy
JacquelineMeulman,Leiden,TheNetherlands
PaolaMonari, Bologna, Italy
ShizuhikoNishisato, Toronto, Canada
Noboru Ohsumi,Tokyo,Japan
Otto Opitz, Augsburg,Germany
Gunter Ritter, Passau, Germany
Martin Schader,Mannheim,Germany
More information about this series at http://www.springer.com/series/1564
Nadja Bauer Katja Ickstadt
(cid:129) (cid:129)
ü
Karsten L bke Gero Szepannek
(cid:129) (cid:129)
Heike Trautmann Maurizio Vichi
(cid:129)
Editors
Applications in Statistical
Computing
From Music Data Analysis to Industrial
Quality Improvement
123
Editors
Nadja Bauer KatjaIckstadt
Department ofComputer Science Faculty of Statistics
DortmundUniversity ofApplied TU DortmundUniversity
Sciences andArts Dortmund, Germany
Dortmund, Germany
Gero Szepannek
Karsten Lübke Schoolof Business Studies
Institute for Empirical Research HOST University of Applied
andStatistics Sciences Stralsund
FOM University of AppliedSciences Stralsund, Germany
Essen, Germany
Maurizio Vichi
Heike Trautmann Department ofStatistical Sciences
Department ofInformation Systems Sapienza University of Rome
University of Münster Rome, Italy
Münster,Germany
ISSN 1431-8814 ISSN 2198-3321 (electronic)
Studies in Classification,Data Analysis, andKnowledgeOrganization
ISBN978-3-030-25146-8 ISBN978-3-030-25147-5 (eBook)
https://doi.org/10.1007/978-3-030-25147-5
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Preface
ThisvolumeonApplicationsinStatisticalComputing—FromMusicDataAnalysis
to Industrial Quality Improvement is dedicated to our teacher, mentor, colleague,
and friend Claus Weihs.Withhis retirement approaching, we thoughtit more than
appropriate to honor his professional and scientific career with a Festschrift, and
here are some reasons why.
Statisticiansareoftenseenas“reacting”researchers;reactingtonew,interesting
data that, in turn, require new statistical methodology for a successful analysis.
Nowadays,manyofthemfindthemselvesreactingtotherapiddevelopmentofthe
fieldofdatascience.Clausisnotoneofthem.Hehasbeenproactivethroughouthis
scientificcareer.Infact,asastatisticianhehasbeenoneofthedesignersofthefield
of data science in Germany. In addition, he made important contributions to many
fields of applications ranging from econometrics to music.
ClausstartedhisscientificcareerinBonn,Germany,wherehestudiedmathematics
withaminorincomputerscience.Afterward,hereceivedhisPh.D.inBonnwitha
dissertationonAuswirkungenvonFehlernindenDatenaufParameterschätzungen
undPrognosen,atopicalreadyontheinterfacebetweenmathematics,computations,
andapplications.
In 1985, he began to work as a statistical consultant for Ciba-Geigy in Basel,
Switzerland. There, he developed statistical models and software for industrial
applications. With this expertise, he was perfectly suited for the newly designed
chairfor“ComputationalStatistics”atTUDortmundUniversitythatheacceptedin
1994, well before the boom of what is now called “Data Science”.
Since then Claus has been shaping the field of computational statistics with
contributions to many fields at the interface of statistics and data science and to
various applications. For example, he participated in the collaborative research
centersSFB475on“ReductionofComplexityinMultivariateDataStructures”and
SFB823on“StatisticalModellingofNonlinearDynamicProcesses”.Initializedby
the advent hymn “Tochter Zion”, he developed statistical methods for music data
analysis, a field also covered in this Festschrift.
vii
viii Preface
Moreover, very early on, in 2002, he initiated the Bachelor’s degree program
“Datenanalyse und Datenmangement” and the Master’s program in “Datenwis-
senschaft”inajointcollaborationwiththeFacultiesofMathematicsandComputer
Science at TU Dortmund University. Both, the BA and the MA program, are now
called “Data Science”.
The community of statisticians and data scientists, TU Dortmund University,
especially its Faculty of Statistics, and we as editors, personally, profited in many
morewaysfromClaus’creativityandvisionarynature.WiththisFestschrift,wetry
to cover some of the many facets of his work.
The volume consists of six parts: Methodological Developments in Data
Science, Computational Statistics, Perspectives on Statistics and Data Science,
Statistics in Econometric Applications, Statistics in Industrial Applications, and
Statistics in Music Applications.
Wewouldliketothankallcontributingauthorsfortheirsupportandcooperation
in developing this special issue. As the selection of authors naturally is biased
toward our own memories and experiences, we apologize to all colleagues whom
we did not contact. We hope you will enjoy reading this Festschrift nevertheless.
OurspecialthanksgotoMartinaBihnandVeronikaRosteckfromSpringer,andto
Claus’ wife Heidrun Gömpel, for their encouragement and their help all along the
way including the editing of this volume. Our biggest thanks go to our teacher,
mentor, colleague, and friend Claus! We all wish you the very best for your
retirement! We are sure statistics and data science will still be part of your future.
Stayproactiveandenjoyspendingmoretime onsingingandjazz,andwithfamily
and friends!
Dortmund, Germany Nadja Bauer
October 2019 Katja Ickstadt
Karsten Lübke
Gero Szepannek
Heike Trautmann
Maurizio Vichi
Contents
Part I Methodological Developments in Data Science
1 Aviation Data Analysis by Linear Programming in Airline
Network Revenue Management . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Wolfgang Gaul and Christoph Winkler
2 Bayesian Reduced Rank Regression for Classification . . . . . . . . . . 19
Heinz Schmidli
3 Modelling and Classification of GC/IMS Breath Gas
Measurements for Lozenges of Different Flavours . . . . . . . . . . . . . 31
Claudia Wigmann, Laura Lange, Wolfgang Vautz and Katja Ickstadt
4 The Cosine Depth Distribution Classifier for Directional Data . . . . 49
Houyem Demni, Amor Messaoud and Giovanni C. Porzio
5 A Nonconformity Ratio Based Desirability Function
for Capability Assessment. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Ramzi Talmoudi
Part II Computational Statistics
6 Heteroscedastic Discriminant Analysis Using R . . . . . . . . . . . . . . . 77
Gero Szepannek and Uwe Ligges
7 Comprehensive Feature-Based Landscape Analysis
of Continuous and Constrained Optimization Problems
Using the R-Package Flacco . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93
Pascal Kerschke and Heike Trautmann
Part III Perspectives on Statistics and Data Science
8 A Note on Artificial Intelligence and Statistics . . . . . . . . . . . . . . . . 127
Katharina Morik
ix
x Contents
9 Statistical Computing and Data Science in Introductory
Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139
Karsten Lübke, Matthias Gehrke and Norman Markgraf
10 Approaching Ethical Guidelines for Data Scientists . . . . . . . . . . . . 151
Ursula Garzcarek and Detlef Steuer
Part IV Statistics in Econometric Applications
11 DatingLowerTurningPointsofBusinessCycles–AMultivariate
Linear Discriminant Analysis for Germany 1974 to 2009. . . . . . . . 173
Ullrich Heilemann and Heinz Josef Münch
12 Partial Orderings of Default Predictions. . . . . . . . . . . . . . . . . . . . . 187
Walter Krämer and Peter N. Posch
13 Improving GMM Efficiency in Dynamic Models for Panel
Data with Mean Stationarity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201
Giorgio Calzolari and Laura Magazzini
Part V Statistics in Industrial Applications
14 Economically Designed Bayesian np Control Charts Using Dual
Sample Sizes for Long-Run Processes. . . . . . . . . . . . . . . . . . . . . . . 219
Imen Kooli and Mohamed Limam
15 Statistical Analysis of the Lifetime of Diamond-Impregnated
Tools for Core Drilling of Concrete . . . . . . . . . . . . . . . . . . . . . . . . 233
Nadja Malevich, Christine H. Müller, Michael Kansteiner,
Dirk Biermann, Manuel Ferreira and Wolfgang Tillmann
16 Detection of Anomalous Sequences in Crack Data of a Bridge
Monitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251
Sermad Abbas, Roland Fried, Jens Heinrich, Melanie Horn,
Mirko Jakubzik, Johanna Kohlenbach, Reinhard Maurer,
Anne Michels and Christine H. Müller
17 Optimal Semi-Split-Plot Designs with R . . . . . . . . . . . . . . . . . . . . . 271
Sebastian Hoffmeister and Andrea Geistanger
18 Continuous Process Monitoring Through Ensemble-Based
Anomaly Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289
Jochen Deuse, Mario Wiegand and Kirsten Weisner
