Applications in Statistical Computing: From Music Data Analysis to Industrial Quality Improvement

Description

This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday. Front Matter ....Pages i-xi Front Matter ....Pages 1-1 Aviation Data Analysis by Linear Programming in Airline Network Revenue Management (Wolfgang Gaul, Christoph Winkler)....Pages 3-18 Bayesian Reduced Rank Regression for Classification (Heinz Schmidli)....Pages 19-30 Modelling and Classification of GC/IMS Breath Gas Measurements for Lozenges of Different Flavours (Claudia Wigmann, Laura Lange, Wolfgang Vautz, Katja Ickstadt)....Pages 31-48 The Cosine Depth Distribution Classifier for Directional Data (Houyem Demni, Amor Messaoud, Giovanni C. Porzio)....Pages 49-60 A Nonconformity Ratio Based Desirability Function for Capability Assessment (Ramzi Talmoudi)....Pages 61-74 Front Matter ....Pages 75-75 Heteroscedastic Discriminant Analysis Using R (Gero Szepannek, Uwe Ligges)....Pages 77-91 Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco (Pascal Kerschke, Heike Trautmann)....Pages 93-123 Front Matter ....Pages 125-125 A Note on Artificial Intelligence and Statistics (Katharina Morik)....Pages 127-138 Statistical Computing and Data Science in Introductory Statistics (Karsten Lübke, Matthias Gehrke, Norman Markgraf)....Pages 139-150 Approaching Ethical Guidelines for Data Scientists (Ursula Garzcarek, Detlef Steuer)....Pages 151-169 Front Matter ....Pages 171-171 Dating Lower Turning Points of Business Cycles – A Multivariate Linear Discriminant Analysis for Germany 1974 to 2009 (Ullrich Heilemann, Heinz Josef Münch)....Pages 173-185 Partial Orderings of Default Predictions (Walter Krämer, Peter N. Posch)....Pages 187-199 Improving GMM Efficiency in Dynamic Models for Panel Data with Mean Stationarity (Giorgio Calzolari, Laura Magazzini)....Pages 201-216 Front Matter ....Pages 217-217 Economically Designed Bayesian np Control Charts Using Dual Sample Sizes for Long-Run Processes (Imen Kooli, Mohamed Limam)....Pages 219-232 Statistical Analysis of the Lifetime of Diamond-Impregnated Tools for Core Drilling of Concrete (Nadja Malevich, Christine H. Müller, Michael Kansteiner, Dirk Biermann, Manuel Ferreira, Wolfgang Tillmann)....Pages 233-249 Detection of Anomalous Sequences in Crack Data of a Bridge Monitoring (Sermad Abbas, Roland Fried, Jens Heinrich, Melanie Horn, Mirko Jakubzik, Johanna Kohlenbach et al.)....Pages 251-269 Optimal Semi-Split-Plot Designs with R (Sebastian Hoffmeister, Andrea Geistanger)....Pages 271-287 Continuous Process Monitoring Through Ensemble-Based Anomaly Detection (Jochen Deuse, Mario Wiegand, Kirsten Weisner)....Pages 289-301 Front Matter ....Pages 303-303 Evaluation of Audio Feature Groups for the Prediction of Arousal and Valence in Music (Igor Vatolkin, Anil Nagathil)....Pages 305-326 The Psychological Foundations of Classification (Martin Ebeling, Günther Rötter)....Pages 327-340