Publikationen | ZHAW Institut für Datenanalyse und Prozessdesign IDP

Naples Forum on Service, Service Dominant Logic, Network & Systems Theory and Service Science: Integrating Three Perspectives for a New Service Agenda, Ischia, 4-7 June 2019.

Verfügbar unter: http://www.naplesforumonservice.it/uploads/files/2018/Proceedings/NFS2019-Meierhofer-est.pdf

Dettling, Marcel; Ruckstuhl, Andreas,

2019.

Statistical modelling

.

In:

Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,

Applied data science.

Cham:

Springer.

S. 181-203.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_11

Müller, Marianne,

2019.

Statistik für die Pflege : Handbuch für Pflegeforschung und Pflegewissenschaft.

2., vollständig überarbeitete und erweiterte Auflage.

Bern:

Hogrefe.

ISBN 978-3-456-85950-7.

Wildi, Marc; McElroy, Tucker S.,

2019.

The trilemma between accuracy, timeliness and smoothness in real-time signal extraction.

International journal of forecasting.

Verfügbar unter: https://doi.org/10.1016/j.ijforecast.2019.03.008

Meierhofer, Jürg,

2018.

Herausforderungen, Chancen und Perspektiven mit Industrie 4.0.

Aktuelle Technik.

2018(12),

S. 20-21.

Verfügbar unter: https://aktuelletechnik.blverlag.ch/herausforderungen-chancen-und-perspektiven-mit-industrie-4-0/

Meierhofer, Jürg,

2018.

Datenbasierte Service-Innovation.

spot.on Marketing.

Verfügbar unter: http://www.spot-on-marketing.com/beitraege/daten-basierte-service-innovation/

Meierhofer, Jürg; Heinatz, Gundula,

2018.

Wie sich die Dienstleistungswirtschaft durch Daten wandelt.

Society byte : Wissenschaftsmagazin des BFH-Zentrums Digital Society.

2018(24. Juli).

Verfügbar unter: https://doi.org/10.21256/zhaw-3949

Meierhofer, Jürg,

2018.

Challenges and approaches for product-service-transformation of SMEs.

In:

10th SERVSIG 2018, Opportunities for Services in a Challenging World, Paris, 14.-16. June 2018.

S. 102-106.

Verfügbar unter: https://www.ieseg.fr/wp-content/uploads/2018/02/SERVSIG-2018-Proceedings.pdf

Meier, Mario Federico; Mildenberger, Thoralf; Locher, René; Rausch, Juanita; Zünd, Thomas; Neururer, Christoph; Ruckstuhl, Andreas; Grobéty, Bernard,

2018.

A model based two-stage classifier for airborne particles analyzed with computer controlled scanning electron microscopy.

Journal of aerosol science.

123,

S. 1-16.

Verfügbar unter: https://doi.org/10.21256/zhaw-3823

Fačevicová, Kamila; Hron, Karel; Todorov, Valentin; Templ, Matthias,

2018.

General approach to coordinate representation of compositional tables.

Scandinavian journal of statistics.

Verfügbar unter: https://doi.org/10.21256/zhaw-2686

Meierhofer, Jürg,

2018.

Industrie 4.0 : Perspektiven durch neue Service-Modelle.

Topsoft-Fachmagazin.

18(1),

S. 18-19.

Verfügbar unter: https://issuu.com/topsoft/docs/tsm18-1

Kavassalis, Petros; Stieber, Harald; Breymann, Wolfgang; Saxton, Keith; Gross, Francis Joseph,

2018.

An innovative RegTech approach to financial risk monitoring and supervisory reporting.

The journal of risk finance.

19(1),

S. 39-55.

Verfügbar unter: https://doi.org/10.1108/JRF-07-2017-0111

Filzmoser, Peter; Hron, Karel; Templ, Matthias,

2018.

Applied compositional data analysis : with worked examples in R.

1. Auflage.

Cham:

Springer.

Springer Series in Statistics (SSS).

ISBN 978-3-319-96420-1.

Verfügbar unter: https://doi.org/10.1007/978-3-319-96422-5

Heitz, Christoph,

2018.

Ausbildung zur Führungskraft in der Instandhaltung an der Hochschule.

fmpro service.

2018(3),

S. 14-16.

Verfügbar unter: https://fmpro-swiss.ch/wp-content/uploads/pdf/fmpro-service-03-2018.pdf

Chen, Yann Qi; Fink, Olga; Sansavini, Giovanni,

2018.

Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction.

IEEE transactions on industrial electronics.

65(1),

S. 561-569.

Verfügbar unter: https://doi.org/10.1109/TIE.2017.2721922

Templ, Matthias,

2018.

Compositional data analysis of our favourite drinks.

In:

eRum 2018, European R Users Meeting, Budapest, May 14-16 2018.

Verfügbar unter: https://2018.erum.io/#talk-2-44

Goren Huber, Lilach; Kunz, Simon; Dettling, Marcel,

2018.

Condition-based maintenance decision making : a practical approach for marine vessels.

International journal of COMADEM.

21(3),

S. 15-20.

Verfügbar unter: https://apscience.org/comadem/index.php/comadem/article/view/93

Meierhofer, Jürg,

2018.

Data driven servitization for SMEs in manufacturing [Paper].

In:

Spring Servitization Conference - Driving Competition through Servitization, Aston University, Birmingham, Mai 2018.

Meierhofer, Jürg; Herrmann, Anne,

2018.

End-to-end methodological approach for the data-driven design of customer-centered digital services [Paper].

In:

Satzger, Gerhard; Patrício, Lia; Zaki, Mohamed; Kühl, Niklas; Hottum, Peter, Hrsg.,

IESS 2018: Exploring Service Science.

Exploring Service Science - 9th International Conference, IESS 2018, Karlsruhe, September 19-21, 2018.

Cham:

Springer.

S. 208-218.

Lecture notes in business information processing.

Verfügbar unter: https://doi.org/10.1007/978-3-030-00713-3_16

Stockinger, Kurt; Heitz, Jonas; Bundi, Nils Andri; Breymann, Wolfgang,

2018.

Large-scale data-driven financial risk modeling using big data technology [Paper].

In:

International Conference on Big Data Computing, Applications and Technologies (BDCAT), Zurich, Switzerland, December 2018.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-4052

Meier, Benjamin Bruno; Elezi, Ismail; Amirian, Mohammadreza; Dürr, Oliver; Stadelmann, Thilo,

2018.

Learning neural models for end-to-end clustering [Paper].

In:

Proceedings of the 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR).

8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), Siena, 19-21 September 2018.

IAPR.

Verfügbar unter: https://doi.org/10.21256/zhaw-3850

Wüst, Raimond Matthias; Gomez, Claudio; Ess, Severin; Steiner, Albert; Bütikofer, Stephan; Laumanns, Marco; Szabo, Jazint,

2018.

Periodic timetabling with ‘Track Choice’-PESP based on given line concepts and mesoscopic infrastructure.

In:

Operations Research 2018 Conference, Bruxelles, 12-14 September 2018.

Verfügbar unter: https://www.euro-online.org/conf/admin/tmp/program-or2018.pdf

Wildi, Marc,

2018.

Real time trend extraction and seasonal adjustment

.

In:

Handbook on seasonal adjustment.

Luxembourg:

Eurostat.

S. 415-451.

Verfügbar unter: https://doi.org/10.2785/279605

Chen, Jiajia; Zhang, Xiaoqin; Hron, Karel; Templ, Matthias; Li, Shengjia,

2018.

Regression imputation with Q-mode clustering for rounded zero replacement in high-dimensional compositional data.

Journal of applied statistics.

45(11),

S. 2067-2080.

Verfügbar unter: https://doi.org/10.1080/02664763.2017.1410524

Deublein, Markus; Hafsteinsson, Helgi; Frey, Martin; Dettling, Marcel; Meier, Lukas; Kalisch, Markus;

2018.

Statistische Analyse von Unfallzahlen.

Bern:

Bundesamt für Strassen.

Verfügbar unter: https://www.astra.admin.ch/dam/astra/de/bilder/Abteilung_Strassenverkehr_allgemein/2018-07-31_VSS1634_Schlussbericht_Statistische_Analyse_von_Unfallzahlen.pdf

Heitz, Christoph,

2018.

User-based redistribution in free-floating bike sharing systems.

In:

International Conference on Operations Research, Brussels, Belgium, 12-14 September 2018.

Heitz, Christoph,

2018.

Von smarten Produkten zu neuen Service-Modellen.

fmpro service.

2018(3),

S. 38-39.

Verfügbar unter: https://fmpro-swiss.ch/wp-content/uploads/pdf/fmpro-service-03-2018.pdf

Chiaia-Hernández, Aurea C.; Günthardt, Barbara F.; Frey, Martin; Hollender, Juliane,

2017.

Unravelling contaminants in the anthropocene using statistical analysis of liquid chromatography–high-resolution mass spectrometry nontarget screening data recorded in lake sediments.

Environmental science & technology.

51(21),

S. 12547-12556.

Verfügbar unter: https://doi.org/10.1021/acs.est.7b03357

Rohrbach, Janick; Suremann, Silvan; Osterrieder, Jörg,

2017.

Momentum and trend following trading strategies for currencies revisited : combining academia and industry.

International Finance eJournal.

9(72).

Verfügbar unter: https://doi.org/10.2139/ssrn.2949379

Meierhofer, Jürg,

2017.

A design approach to service transformation in small firms [Paper].

In:

Internationalisation through servitization : proceedings of the Spring Servitization Conference 2017.

Spring Servitization Conference, Internationalisation through servitization, Lucerne, 15-17 May 2017.

Birmingham:

Aston University.

S. 69-75.

Fritzmann, Siro; Jaggi, David; Osterrieder, Jörg,

2017.

A statistical analysis of carry trading.

International Finance eJournal.

Verfügbar unter: https://doi.org/10.2139/ssrn.2993902

Chan, Stephen; Chu, Jeffrey; Nadarajah, Saralees; Osterrieder, Jörg,

2017.

A statistical analysis of cryptocurrencies.

Journal of risk and financial management.

10(12).

Verfügbar unter: https://doi.org/10.21256/zhaw-4793

Osterrieder, Jörg; Lorenz, Julian,

2017.

A statistical risk assessment of bitcoin and its extreme tail behaviour.

Annals of financial economics.

12(1).

Verfügbar unter: https://doi.org/10.1142/S2010495217500038

Kleinknecht-Dolf, Michael; Spichiger, Elisabeth; Müller, Marianne; Bartholomeyczik, Sabine; Spirig, Rebecca,

2017.

Advancement of the German version of the moral distress scale for acute care nurses : a mixed methods study.

Nursing open.

4(4),

S. 251-266.

Verfügbar unter: https://doi.org/10.21256/zhaw-4898

Weinauer, Marlene,

2017.

Analysis and forecasting of Austrian mortality data with methods of compositional data analysis.

Templ, Matthias,

2017.

Applied statistical disclosure control : methods and software.

In:

3rd International Conference on Computing, Mathematics and Statistics (iCMS2017), Langkawi, 7 - 8 November 2017.

Verfügbar unter: http://www.icmskdh.net/index.php/keynote-speakers

Eisenberger, Daniel; Fink, Olga,

2017.

Assessment of maintenance strategies for railway vehicles using Petri-Nets [Paper].

In:

20th EURO Working Group on Transportation Meeting, EWGT 2017, Budapest, Hungary, 4-6 September 2017.

Elsevier.

S. 205-214.

Verfügbar unter: https://doi.org/10.21256/zhaw-2757

Osterrieder, Jörg; Strika, Martin; Lorenz, Julian,

2017.

Bitcoin and cryptocurrencies - not for the faint-hearted.

International finance and banking.

4(1),

S. 56-94.

Verfügbar unter: https://doi.org/10.21256/zhaw-5509

Fink, Olga; Jenni, Lukas; Nguyen, Hong Son; Ponnudurai, Nirujan; Subbiah, Subanatarajan; Turrin, Simone,

2017.

Cluster analysis of condition monitoring data [Paper].

In:

Risk, reliability and safety : innovating theory and practice.

26th European Safety and Reliability Conference ESREL 2016, Glasgow, UK, 25-29 September 2016.

London:

Taylor & Francis.

S. 1978-1985.

Goren Huber, Lilach; Kunz, Simon; Dettling, Marcel,

2017.

Condition-based maintenance decision making : a practical approach for marine vessels [Paper].

In:

30th Conference for Condition Monitoring and Diagnostic Engineering Management, Lancashire, Juli 2017.

Lancashire:

Jost Institute for Tribotechnology.

S. 357-365.

Templ, Matthias,

2017.

EURAC workshop on advanced R : ggplot2.

Templ, Matthias; Hron, Karel; Filzmoser, Peter,

2017.

Exploring outliers in compositional data with structural zeros.

In:

CoDaWork 2017, Siena, 5-9 June 2017.

Verfügbar unter: http://www.compositionaldata.com/codawork2017/abstracts/8thThursday/Oral/ZER-2.pdf

Hu, Yang; Palmé, Thomas; Fink, Olga,

2017.

Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines.

Engineering Applications of Artificial Intelligence.

57,

S. 105-117.

Verfügbar unter: https://doi.org/10.1016/j.engappai.2016.10.010

Meierhofer, Jürg; Meier, Kevin,

2017.

From data science to value creation [Paper].

In:

Za, Stefano; Drăgoicea, Monica; Cavallari, Maurizio, Hrsg.,

Exploring Services Science : 8th International Conference, IESS 2017, Rome, Italy, May 24-26, 2017, Proceedings.

8th International Conference, IESS 2017, Rome, Italy, 24-26 May 2017.

Cham:

Springer.

S. 173-181.

Lecture notes in business information processing ; 279.

Verfügbar unter: https://doi.org/10.1007/978-3-319-56925-3_14

Chu, Jeffrey; Chan, Stephen; Nadarajah, Saralees; Osterrieder, Jörg,

2017.

GARCH modelling of cryptocurrencies.

Journal of risk and financial management.

10(17).

Verfügbar unter: https://doi.org/10.21256/zhaw-4795

Wüst, Raimond Matthias; Steiner, Albert; Gomez, Claudio,

2017.

Kundenfreundliche und robuste Ersatzfahrpläne während Bau- und Unterhaltsintervallen.

Eisenbahntechnische Rundschau.

2017(10),

S. 57-61.

Verfügbar unter: https://doi.org/10.21256/zhaw-4791

Lukic, Yanick X.; Vogt, Carlo; Dürr, Oliver; Stadelmann, Thilo,

2017.

Learning embeddings for speaker clustering based on voice equality [Paper].

In:

2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), Tokyo, 25-28 September 2017.

IEEE.

Verfügbar unter: https://doi.org/10.21256/zhaw-3762

Ortner, Thomas,

2017.

Local projections for high-dimensional data analysis.

Huber, Evelyn; Kleinknecht-Dolf, Michael; Müller, Marianne; Kugler, Christiane; Spirig, Rebecca,

2017.

Mixed-method research protocol : defining and operationalizing patient-related complexity of nursing care in acute care hospitals.

Journal of advanced nursing.

73(6),

S. 1491-1501.

Verfügbar unter: https://doi.org/10.1111/jan.13218

Templ, Barbara; Templ, Matthias; Filzmoser, Peter; Lehoczky, Annamária; Bakšienè, Eugenija; Fleck, Stefan; Gregow, Hilppa; Hodzic, Sabina; Kalvane, Gunta; Kubin, Eero; Palm, Vello; Romanovskaja, Danuta; Vucˇetic´, Višnja; žust, Ana; Czúcz, Bálint,

2017.

Phenological patterns of flowering across biogeographical regions of Europe.

International journal of biometeorology.

61(7),

S. 1347-1358.

Verfügbar unter: https://doi.org/10.1007/s00484-017-1312-6

Goren Huber, Lilach; Dettling, Marcel; Kunz, Simon; Gsponer, Daniel,

2017.

Predictive Maintenance zum effizienten Betrieb von Hochsee-Schiffen.

fmpro service.

,

S. 9-11.

Klinkert, Andreas,

2017.

Production planning and control 4.0 : smart integration of existing and new concepts.

In:

R&D-Conference on Industry 4.0, Industry 2025, Winterthur, Switzerland, 2017.

Dersin, P.; Alessi, A.; Lamoureux, B.; Brahimi, M.; Fink, Olga,

2017.

Prognostics and health management in railways [Paper].

In:

Cepin, Marko; Bris, Radim, Hrsg.,

Safety and reliability : theory and applications.

27th European Safety and Reliability Conference (ESREL 2017), Portoroz, Slovenia, 18 - 22 June 2017.

London:

Taylor & Francis.

Keller, Patrick; Riguzzi, Marco; Dettling, Marcel; Wieser, Simon,

2017.

Prospective payment for inpatient psychiatric care : a system to be developed for Switzerland.

In:

Thirteenth Workshop on Costs and Assessment in Psychiatry, Venice, March 24-26, 2017.

International Center of Mental Health Policy and Economics.

Templ, Matthias,

2017.

R and data manipulation : application with big data.

In:

The 5th joint international conference on new challenges for statistical software: the use of R in official statistics (UROS2017), Langkawi, 7 - 8 November 2017.

Verfügbar unter: http://www.icmskdh.net/images/downloads/icms-2017-R-Workshop.pdf

Sariyar, Murat; Templ, Matthias,

2017.

Schulung zur Anonymisierung von personenbezogenen Datenbeständen.

In:

Schulung.

Meindl, Bernhard; Kowarik, Alexander; Templ, Matthias,

2017.

sdcApp : a shiny new GUI for sdcMicro [Paper].

In:

NTTS New Techniques and Technologies for Statistics, Brussels, March 13-17, 2017.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

S. 1-4.

Verfügbar unter: https://doi.org/10.21256/zhaw-4236

Meierhofer, Jürg,

2017.

Service value creation using data science [Paper].

In:

Gumesson, Evert; Mele, Cristina; Polese, Francesco, Hrsg.,

Service Logic, Network and Systems Theory and Service Science: Integrating three Perspectives for a New Service Agenda.

The 5th Naples Forum on Service: Service Dominant Logic, Network and Systems Theory and Service Science: Integrating three Perspectives for a New Service Agenda. Sorrento, Naples, 6-9 June 2017.

Tricase:

Youcanprint Self-Publishing.

Verfügbar unter: http://www.naplesforumonservice.it/uploads//files/Meierhofer.pdf

Templ, Matthias; Meindl, Bernhard; Kowarik, Alexander; Dupriez, Olivier,

2017.

Simulation of synthetic complex data: The R package simPop.

Journal of statistical software.

79(10),

S. 1-38.

Verfügbar unter: https://doi.org/10.21256/zhaw-4237

Kreutzmann, Ann-Kristin; Pannier, Sören; Rojas-Perilla, Natalia; Schmid, Timo; Templ, Matthias; Tzavidis, Nikos,

2017.

Small area estimation in R with application to Mexican income data [Paper].

In:

NTTS New Techniques and Technologies for Statistics, Brussels, March 13-17, 2017.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

S. 1-5.

Verfügbar unter: https://doi.org/10.21256/zhaw-4235

Templ, Matthias,

2017.

Statistical disclosure control for microdata : methods and applications in R.

Springer.

ISBN 978-3-319-50270-0.

Verfügbar unter: https://doi.org/10.1007/978-3-319-50272-4

Wüst, Raimond Matthias,

2017.

The OpenTrack API : case study using opentrack for benchmarking automatically generated timetable scenarios specified by the transport service intention.

In:

nextRail Conference in EPFL, Lausanne, 8.9.2017.

Osterrieder, Jörg,

2017.

The statistics of bitcoin and cryptocurrencies [Paper].

In:

2017 International Conference on Economics, Finance and Statistics (ICEFS 2017).

2017 International Conference on Economics, Finance and Statistics, Hong Kong, 14-15 January 2017.

Atlantis Press.

Advances in Economics, Business and Management Research (AEBMR) ; 26.

Verfügbar unter: https://doi.org/10.21256/zhaw-4794

Kowarik, Alexander; Templ, Matthias,

2017.

Visualisation and imputation of missing values.

In:

61st World Statistics Congress, ISI 2017, Marrakech, 16-21 July 2017.

Müller, Marianne,

2017.

Warum braucht es das Raschmodell?.

Pflege.

30(5),

S. 299.

Verfügbar unter: https://doi.org/10.1024/1012-5302/a000578

Eidgenössisches Departement für Umwelt, Verkehr, Energie und Kommunikation UVEK; Bundesamt für Strassen, Hrsg.,

2016.

Massnahmen und Potenziale im Bereich Verkehrsteilnehmende : Forschungspaket VeSPA Teilprojekt 1-M.

Zürich:

Schweizerischer Verband der Strassen- und Verkehrsfachleute (VSS).

Verfügbar unter: https://www.astra.admin.ch/astra/de/home/dokumentation/unfalldaten/publikationen/forschungspaket-vespa.html

Locher, René,

2016.

Grundlagen zur Planung eines kostengünstigen repräsentativen Ammoniak-Messnetzes in Bezug auf die Erstellung von Immissionskarten und zur Beobachtung des langjährigen Trends von Ammoniak.

IDP Environmetrics

; 6.

Winterthur:

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-1057

Breymann, Wolfgang,

2016.

1st workshop on applications of financial mathematics in banks and other financial institutions.

Klinkert, Andreas,

2016.

Automated workforce scheduling in airport logistics.

In:

ICCL16 - 7th International Conference on Computational Logistics, Lisbon, Portugal.

Templ, Barbara; Fleck, Stefan; Templ, Matthias,

2016.

Change of plant phenophases explained by survival modeling.

International journal of biometeorology.

61(5),

S. 881-889.

Verfügbar unter: https://doi.org/10.21256/zhaw-3607

Fačevicová, Kamila; Hron, Karel; Todorov, Valentin; Templ, Matthias,

2016.

Compositional Tables Analysis in Coordinates.

Scandinavian journal of statistics.

,

S. 962-977.

Verfügbar unter: https://doi.org/10.21256/zhaw-2685

Stockinger, Kurt; Stadelmann, Thilo; Ruckstuhl, Andreas,

2016.

Data Scientist als Beruf

.

In:

Fasel, Daniel; Andreas, Meier, Hrsg.,

Big Data.

Wiesbaden:

Springer.

S. 59-81.

Edition HMD.

Verfügbar unter: https://doi.org/10.1007/978-3-658-11589-0_4

Templ, Matthias,

2016.

Data visualization using R.

In:

eRum 2016, European R Users Meeting, Poznan, October 12-14 2016.

Verfügbar unter: http://erum.ue.poznan.pl/

Heitz, Christoph; Goren, Lilach; Sigrist, Jörg,

2016.

Decision making in asset management : optimal allocation of resources for maximizing value realization [Paper].

In:

Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015).

WCEAM 2015, Tampere, Finland, 28-30 September 2015.

Cham:

Springer.

S. 259-268.

Lecture Notes in Mechanical Engineering.

Verfügbar unter: https://doi.org/10.1007/978-3-319-27064-7_25

Hu, Yang; Palmé, Thomas; Fink, Olga,

2016.

Deep health indicator extraction : a method based on auto-encoders and extreme learning machines [Paper].

In:

PHM 2016 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016.

PHM 2016, Denver, CO, USA , 3-6 October 2016.

PMH Society.

S. 446-452.

Verfügbar unter: https://doi.org/10.21256/zhaw-2756

Carabias-Hütter, Vicente; Eschenauer, Ursula; Kuehn, Tobias; Lobsiger-Kögi, Evelyn; Mildenberger, Thoralf,

2016.

Die Energienachfrage steuern : Handlungsempfehlungen zur Nutzung von Smart-Meter-Daten.

Gaia.

25(3),

S. 217-219.

Verfügbar unter: https://doi.org/10.21256/zhaw-4231

Friedl, Herwig; Templ, Matthias,

2016.

Die Theorie lebt in der Praxis : ein Interview mit Ernst Stadlober.

Österreichische Zeitschrift für Statistik.

45(2),

S. 69-80.

Verfügbar unter: https://doi.org/10.21256/zhaw-4234

Kavassalis, Petros; Stieber, Harald; Breymann, Wolfgang; Saxton, Keith; Gross, Francis; Brammertz, Willi; Bertolo, Stefano; Dragiotis, Antonis,

2016.

DTD powered by ACTUS : an innovative RegTech approach to financial risk reporting.

Templ, Matthias; Hron, K.; Filzmoser, P.,

2016.

Exploratory tools for outlier detection in compositional data with structural zeros.

Journal of applied statistics.

44(4),

S. 734-752.

Verfügbar unter: https://doi.org/10.1080/02664763.2016.1182135

Hron, Karel; Templ, Matthias; Filzmoser, Peter,

2016.

Exploring outliers in compositional data with structural zeros.

In:

9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Seville, Spain, 9-11 December 2016.

Bütikofer, Stephan; Steiner, Albert,

2016.

Extension and application of a general pickup and delivery model for evaluating the impact of bundling goods in an urban environment [Paper].

In:

Operations Research Proceedings 2014.

Annual International Conference of the German Operations Research Society (GOR), Aachen, Germany, 2-5 September 2014.

Cham:

Springer.

S. 83-89.

Operations Research Proceedings.

Verfügbar unter: https://doi.org/10.1007/978-3-319-28697-6_13

Hochschule Luzern - Wirtschaft; Schweizerischen Vereinigung der Verkehrsingenieure und Verkehrsexperten (SVI), Hrsg.,

2016.

Forschungspaket VeSPA Teilprojekt 1-M, Massnahmen und Potenziale im Bereich Verkehrsteilnehmende.

Forschungsberichte SVI

; 1591.

Bern:

Bundesamt für Strassen.

Templ, Matthias; Hron, Karel; Filzmoser, Peter; Gardlo, Alžbӗta,

2016.

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