TY - BOOK ID - 48303782 TI - Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement AU - Bauer, Nadja. AU - Ickstadt, Katja. AU - Lübke, Karsten. AU - Szepannek, Gero. AU - Trautmann, Heike. AU - Vichi, Maurizio. PY - 2019 SN - 3030251470 3030251462 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Mathematical statistics KW - Data processing. KW - Statistics . KW - Data mining. KW - Mathematical statistics. KW - Mathematics. KW - Operations research. KW - Decision making. KW - Statistics and Computing/Statistics Programs. KW - Data Mining and Knowledge Discovery. KW - Applied Statistics. KW - Probability and Statistics in Computer Science. KW - Mathematics in Music. KW - Operations Research/Decision Theory. KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management KW - Management decisions KW - Choice (Psychology) KW - Problem solving KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Math KW - Science KW - Mathematics KW - Statistical inference KW - Statistics, Mathematical KW - Statistics KW - Probabilities KW - Sampling (Statistics) KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Econometrics KW - Decision making UR - https://www.unicat.be/uniCat?func=search&query=sysid:48303782 AB - 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. ER -