Functional Statistics : Outliers Detection and Quality Control

• Autore: Martínez Torres Javier
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (148 p.)
• Soggetto topico: Mathematics & science; Research & information: general
• Soggetto non controllato: ageing technology; ageing time; air pollution; average run length; bivariate analysis; chestnut; control chart; convergence; data depth; energy efficiency; FDA; FTIR-ATR; functional data; functional data analysis; generalized additive models; Lagrange interpolation; median absolute deviation; micro-oxygenation; nodal systems; non-normal data; nonparametric control chart; oak; outlier; perturbed roots of the unity; photolithography; pollution episodes; refurbishment; retrofitting; separation properties; Shewhart; statistical process control; Tukey; uncertainty region; unit circle; vector analysis; vectorial analysis; wine spirit; wood
• 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