Applications in statistical computing [Documento eletrónico] : from music data analysis to industrial quality improvement / edited by Nadja Bauer ... [et al.]
Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer International Publishing, 2019Description: XI, 340 p. : il.ISBN: 978-3-030-25147-5.Series: Studies in Classification Data Analysis and Knowledge OrganizationSubject - Topical Name: Mathematical statistics -- Data processing | Data mining | Statistics | Computer science -- Mathematics | Mathematical statistics | Music -- Mathematics | Operations research Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA276.4.SPR FCT (Browse shelf(Opens below)) | 1 | Available | 95815 |
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QA276.4.SPR FCT Python for marketing research and analytics | QA276.4.SPR FCT Modern classification and data analysis, methodology and applications to micro- and macroeconomic problems | QA276.4.SPR FCT Statistical analysis of network data with r | QA276.4.SPR FCT Applications in statistical computing, from music data analysis to industrial quality improvement | QA276.4.SPR FCT New statistical developments in data science, sis 2017, florence, italy, june 28-30 | QA276.4.SPR FCT Text analysis with r, for students of literature | QA276.4.SPR FCT Statistical signal processing, frequency estimation |
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.
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