Applications in Statistical Computing From Music Data Analysis to Industrial Quality Improvement 1st edition by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi 3030251468 9783030251468

Applications in Statistical Computing From Music Data Analysis to Industrial Quality Improvement 1st edition by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi – Ebook PDF Instant Download/DeliveryISBN:  3030251468, 9783030251468 

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ISBN-10 :  3030251468 

ISBN-13 :  9783030251468

Author: Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi 

  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.

Applications in Statistical Computing From Music Data Analysis to Industrial Quality Improvement 1st Table of contents:

Part I. Methodological Developments in Data Science
1. Aviation Data Analysis by Linear Programming in Airline Network Revenue Management
2. Bayesian Reduced Rank Regression for Classification
3. Modelling and Classification of GC/IMS Breath Gas Measurements for Lozenges of Different Flavours
4. The Cosine Depth Distribution Classifier for Directional Data
5. A Nonconformity Ratio Based Desirability Function for Capability Assessment
Part II. Computational Statistics
6. Heteroscedastic Discriminant Analysis Using R
7. Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco
Part III. Perspectives on Statistics and Data Science
8. A Note on Artificial Intelligence and Statistics
9. Statistical Computing and Data Science in Introductory Statistics
10. Approaching Ethical Guidelines for Data Scientists
Part IV. Statistics in Econometric Applications
11. Dating Lower Turning Points of Business Cycles – A Multivariate Linear Discriminant Analysis for Germany 1974 to 2009
12. Partial Orderings of Default Predictions
13. Improving GMM Efficiency in Dynamic Models for Panel Data with Mean Stationarity
Part V. Statistics in Industrial Applications
14. Economically Designed Bayesian np Control Charts Using Dual Sample Sizes for Long-Run Processes
15. Statistical Analysis of the Lifetime of Diamond-Impregnated Tools for Core Drilling of Concrete
16. Detection of Anomalous Sequences in Crack Data of a Bridge Monitoring
17. Optimal Semi-Split-Plot Designs with R
18. Continuous Process Monitoring Through Ensemble-Based Anomaly Detection
Part VI. Statistics in Music Applications
19. Evaluation of Audio Feature Groups for the Prediction of Arousal and Valence in Music
20. The Psychological Foundations of Classification

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Tags: Applications, Statistical Computing, Industrial Quality Improvement, Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi