Functional Statistics : Outliers Detection and Quality Control

• Autore: Martínez Torres Javier
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 electronic resource (148 p.)
• Soggetto topico: Research & information: general; Mathematics & science
• Soggetto non controllato: functional data analysis; statistical process control; control chart; data depth; nonparametric control chart; energy efficiency; air pollution; non-normal data; outlier; Lagrange interpolation; unit circle; nodal systems; separation properties; perturbed roots of the unity; convergence; retrofitting; refurbishment; vectorial analysis; average run length; median absolute deviation; photolithography; Shewhart; Tukey; FTIR-ATR; FDA; vector analysis; wine spirit; ageing technology; micro-oxygenation; wood; oak; chestnut; ageing time; pollution episodes; functional data; bivariate analysis; uncertainty region; generalized additive models
• Persona (resp. second.): Martínez TorresJavier
• Sommario/riassunto: Functional analysis, the branch that lies between mathematical analysis and statistics, has many applications in the field of engineering and processes. Thus, this book presents several applications carried out from this perspective, as well as various works of a theoretical nature that take a further step so that researchers can use these models with high precision.
• Altri titoli varianti: Functional Statistics
• Titolo autorizzato: Functional Statistics
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557712303321
• Lo trovi qui: Univ. Federico II