Table Of ContentContributions to Statistics
Joachim Kunert
Christine H. Müller
Editors
Anthony C. Atkinson
mODa 11 -
Advances in Model-
Oriented Design
and Analysis
Proceedings of the 11th International
Workshop in Model-Oriented Design
and Analysis held in Hamminkeln,
Germany, June 12-17, 2016
Contributions to Statistics
Moreinformationaboutthisseriesathttp://www.springer.com/series/2912
Joachim Kunert • Christine H. MuRller •
Anthony C. Atkinson
Editors
mODa 11 - Advances in
Model-Oriented Design
and Analysis
Proceedings of the 11th International
Workshop in Model-Oriented Design and
Analysis held in Hamminkeln, Germany,
June 12-17, 2016
123
Editors
JoachimKunert ChristineH.MuRller
DepartmentofStatistics DepartmentofStatistics
TechnischeUniversitaRtDortmund TechnischeUniversitaRtDortmund
Dortmund,Germany Dortmund,Germany
AnthonyC.Atkinson
DepartmentofStatistics
LondonSchoolofEconomics
London,UnitedKingdom
ISSN1431-1968
ContributionstoStatistics
ISBN978-3-319-31264-4 ISBN978-3-319-31266-8 (eBook)
DOI10.1007/978-3-319-31266-8
LibraryofCongressControlNumber:2016940826
©SpringerInternationalPublishingSwitzerland2016
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Preface
This volume contains articles based on presentations at the 11th workshop on
model-oriented data analysis and optimum design (mODa) in Hamminkeln-
Dingden, Germany, during June 2016. The 11th workshop was organized by the
Departmentof Statistics of the TU Dortmundand supported by the Collaborative
ResearchCenter“Statisticalmodelingofnonlineardynamicprocesses”(SFB823)
oftheGermanResearchFoundation(DFG).
The mODa series of workshopsfocuses on nonstandarddesign of experiments
andrelatedanalysisofdata.Themainobjectivesare:
• To promote new advanced research areas as well as collaboration between
academiaandindustry.
• Whenever possible, to provide financial support for research in the area of
experimentaldesignandrelatedtopics.
• Togivejuniorresearcherstheopportunityofestablishingpersonalcontactsand
workingtogetherwithleadingresearchers.
• Tobringtogetherscientistsfromdifferentstatisticalschools–particularempha-
sisisgiventotheinclusionofscientistsfromCentralandEasternEurope.
The mODa series of workshops started at the Wartburg near Eisenach in the
formerGDR in 1987and hascontinuedas a tri-annualseries of conferences.The
locationsanddatesoftheformerconferencesareasfollows:
• mODa1:Eisenach,formerGDR,1987,
• mODa2:St.Kyrik,Bulgaria,1990,
• mODa3:Peterhof,Russia,1992,
• mODa4:Spetses,Greece,1995,
• mODa5:Luminy,France,1998,
• mODa6:Puchberg/Schneeberg,Austria,2001,
• mODa7:Heeze,TheNetherlands,2004,
• mODa8:Almagro,Spain,2007,
• mODa9:Bertinoro,Italy,2010,
• mODa10:ŁagówLubuski,Poland,2013.
v
vi Preface
The articles in this volume provide an overview of current topics in research on
experimentaldesign.Thetopicscoveredbythepapersare:
• designsfortreatmentcombinations(Atkinson;Druilhet;GrömpingandBailey),
• randomisation(Bailey;Ghiglietti;ShaoandRosenberger),
• computerexperiments(CurtisandMaruri-Aguilar;Ginsbourger,Baccou,Cheva-
lierandPerales),
• designs for nonlinear regression and generalized linear models (Amo-Salas,
Jiménez-Alcázar and López-Fidalgo;Burclová and Pázman;Cheng, Majumdar
andYang;Mielke;RadloffandSchwabe),
• designs for dependent data (Deldossi, Osmetti and Tommasi; Gauthier and
Pronzato;PrusandSchwabe),
• designsforfunctionaldata(Aletti,MayandTommasi;ZangandGroßmann),
• adaptive and sequential designs (Borrotti and Pievatolo; Hainy, Drovandi and
McGree;Knapp;Lane,WangandFlournoy),
• designsfor specialfields of application(Bischoff;FedorovandXue; Graßhoff,
HollingandSchwabe;Pepelyshev,StaroselskiyandZhigljavsky),
• foundationsofexperimentaldesign(MüllerandWynn;Zhigljavsky,Golyandina
andGillard).
In this time of Big Data, it is often not emphasized in public discourse that
experimentaldesignremainsextremelyimportant.ThemODaseriesofworkshops
wishes to raise public awareness of the continuing importance of experimental
design. In particular, the papers from various fields of application show that
experimental design is not a mathematical plaything, but is of direct use in the
sciences.
Since the first workshop in Eisenach, optimal design for varioussituations has
been at the heart of the research covered by mODa. Sequential design is another
long-standing topic in the mODa series. It is clear that computer experiments,
designsfor dependentdata, and functionaldata become increasinglyfeasible. For
causalinferenceinparticular,old-fashionedmethodslikerandomization,blinding,
andorthogonalityoffactorsremainindispensable.Inadditiontotheimportanceof
theresearchcoveredhere,wethinkthatthearticlesinthisvolumeshowthebeauty
ofmathematicalstatistics,whichshouldnotbeforgotten.
For the editors, it was a pleasurereading these research results. We would like
to thank the authors for submitting such nice work and for providingrevisions in
time, wherevera revision was necessary.Last, but notleast, we want to thankthe
refereeswhoprovidedthoughtfulandconstructivereviewsintime,helpingtomake
thisvolumeafineadditiontoanystatistician’sbookshelves.
Dortmund,Germany ChristineMüller
JoachimKunert
AnthonyAtkinson
Contents
OnApplyingOptimalDesignofExperimentswhenFunctional
ObservationsOccur.............................................................. 1
GiacomoAletti,CaterinaMay,andChiaraTommasi
OptimalDesignsforImplicitModels .......................................... 11
Mariano Amo-Salas, Alfonso Jiménez-Alcázar,
andJesúsLópez-Fidalgo
OptimumExperimentswithSetsofTreatmentCombinations ............. 19
AnthonyC.Atkinson
DesignKeysforMultiphaseExperiments..................................... 27
R.A.Bailey
OnDesignsforRecursiveLeastSquaresResidualstoDetect
Alternatives....................................................................... 37
WolfgangBischoff
A Multi-objective Bayesian Sequential Design Based on
ParetoOptimality................................................................ 47
MatteoBorrottiandAntonioPievatolo
OptimumDesignviaI-DivergenceforStableEstimationin
GeneralizedRegressionModels ................................................ 55
KatarínaBurclováandAndrejPázman
OnMultiple-ObjectiveNonlinearOptimalDesigns.......................... 63
QianshunCheng,DibyenMajumdar,andMinYang
DesignforSmoothModelsoverComplexRegions........................... 71
PeterCurtisandHugoMaruri-Aguilar
PKL-Optimality Criterion in Copula Models
forEfficacy-ToxicityResponse.................................................. 79
LauraDeldossi,SilviaAngelaOsmetti,andChiaraTommasi
vii
viii Contents
EfficientCircularCross-overDesignsforModelswithInteraction........ 87
PierreDruilhet
SurvivalModelswithCensoringDrivenbyRandomEnrollment.......... 95
ValeriiV.FedorovandXiaoqiangXue
OptimalDesignforPredictioninRandomFieldModelsvia
CovarianceKernelExpansions................................................. 103
BertrandGauthierandLucPronzato
AsymptoticPropertiesofanAdaptiveRandomlyReinforced
UrnModel......................................................................... 113
AndreaGhiglietti
DesignofComputerExperimentsUsingCompetingDistances
BetweenSet-ValuedInputs...................................................... 123
David Ginsbourger, Jean Baccou, Clément Chevalier,
andFrédéricPerales
OptimalDesignfortheRaschPoisson-GammaModel ...................... 133
UlrikeGraßhoff,HeinzHolling,andRainerSchwabe
RegularFractionsofFactorialArrays......................................... 143
UlrikeGrömpingandR.A.Bailey
Likelihood-Free Extensions for Bayesian Sequentially
DesignedExperiments........................................................... 153
MarkusHainy,ChristopherC.Drovandi,andJamesM.McGree
AConfidenceIntervalApproachinSelf-DesigningClinicalTrials......... 163
GuidoKnapp
ConditionalInferenceinTwo-StageAdaptiveExperimentsvia
theBootstrap ..................................................................... 173
AdamLane,HaiYingWang,andNancyFlournoy
Study Designs for the Estimation of the Hill Parameter
inSigmoidalResponseModels.................................................. 183
TobiasMielke
ControlledVersus“Random”Experiments:APrinciple.................... 191
WernerG.MüllerandHenryP.Wynn
AdaptiveDesignsforOptimizingOnlineAdvertisementCampaigns...... 199
AndreyPepelyshev,YuriStaroselskiy,andAnatolyZhigljavsky
Interpolationand Extrapolationin Random Coefficient
RegressionModels:OptimalDesignforPrediction.......................... 209
MarynaPrusandRainerSchwabe
Contents ix
Invariance and Equivariance in Experimental Design
forNonlinearModels ............................................................ 217
MartinRadloffandRainerSchwabe
PropertiesoftheRandomBlockDesignforClinicalTrials ................. 225
HuiShaoandWilliamF.Rosenberger
FunctionalDataAnalysisinDesignedExperiments ......................... 235
BairuZhangandHeikoGroßmann
AnalysisandDesignintheProblemofVectorDeconvolution .............. 243
AnatolyZhigljavsky,NinaGolyandina,andJonathanGillard
Index............................................................................... 253
