Applications in Statistical Computing From Music Data Analysis to Industrial Quality Improvement
Synopsis
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.
Book details
- Edition:
- 1st ed. 2019
- Series:
- Studies in Classification, Data Analysis, and Knowledge Organization
- Author:
- Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi
- ISBN:
- 9783030251475
- Related ISBNs:
- 9783030251468
- Publisher:
- Springer International Publishing
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2024-03-15
- Usage restrictions:
- Copyright
- Copyright date:
- 2019
- Copyright by:
- Springer Nature Switzerland AG
- Adult content:
- No
- Language:
-
English
- Categories:
-
Business and Finance, Computers and Internet, Mathematics and Statistics, Nonfiction