Applications in Statistical Computing Applications in Statistical Computing
Studies in Classification, Data Analysis, and Knowledge Organization

Applications in Statistical Computing

From Music Data Analysis to Industrial Quality Improvement

Nadja Bauer and Others
    • $39.99
    • $39.99

Publisher 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.

GENRE
Computers & Internet
RELEASED
2019
October 12
LANGUAGE
EN
English
LENGTH
351
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
24.8
MB
Statistical Data Science Statistical Data Science
2018
Classification - the Ubiquitous Challenge Classification - the Ubiquitous Challenge
2006
Proceedings of COMPSTAT'2010 Proceedings of COMPSTAT'2010
2010
COMPSTAT 2008 COMPSTAT 2008
2008
Frontiers in Statistical Quality Control 11 Frontiers in Statistical Quality Control 11
2015
Conformal and Probabilistic Prediction with Applications Conformal and Probabilistic Prediction with Applications
2016
Data Science Data Science
2017
Challenges at the Interface of Data Analysis, Computer Science, and Optimization Challenges at the Interface of Data Analysis, Computer Science, and Optimization
2012
Recent Trends and Future Challenges in Learning from Data Recent Trends and Future Challenges in Learning from Data
2024
Statistical Models and Methods for Data Science Statistical Models and Methods for Data Science
2023
Modern Classification and Data Analysis Modern Classification and Data Analysis
2022
Statistical Learning and Modeling in Data Analysis Statistical Learning and Modeling in Data Analysis
2021