01204nam0-22004331i-450-99000078563040332120080902155920.0000078563FED01000078563(Aleph)000078563FED0100007856320020821d1996----km-y0itay50------baitaITa-------001yyBreve descrittione di sette città illustri d'ItaliaIeronimo Pico Fonticulanoa cura di Mario CentofantiL'AquilaEdizioni textusc1996XL, 109 p.ill.24 cmBibliotheca Aquilana2RomaNapoliVeneziaMilanoFirenzeBolognaL'AquilaPico,Geronimo <1541-1596>430586Centofanti,MarioITUNINARICAUNIMARCBK990000785630403321AQU.1135CICEURB.LE B 13838192FARBC12.2852842DARSTFARBCCICEDARSTBreve descrittione di sette città illustri d'Italia350881UNINA00818nam0 22002291i 450 UON0039474120231205104629.69320110627d1938 |0itac50 bagerDE|||| |||||Afrikaner erzahlen ihr LebenDiedrich Westermann[Germania]Effenerc1938407 p.21 cmWESTERMANNDiedrichUONV044404181446EffenerUONV278286650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00394741SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI AFR GEN 0643 SI MR 11245 5 0643 Afrikaner erzahlen ihr Leben1351352UNIOR03431nam 2200481Ia 450 991043786080332120200520144314.03-658-02314-710.1007/978-3-658-02314-0(OCoLC)847514791(MiFhGG)GVRL6UQS(CKB)2670000000371291(MiAaPQ)EBC1317199(EXLCZ)99267000000037129120130314d2013 uy 0engurun|---uuuuatxtccrLocal variance estimation for uncensored and censored observations /Paola Gloria Ferrario1st ed. 2013.Dordrecht Springer20131 online resource (xvii, 130 pages) illustrationsGale eBooksDescription based upon print version of record.3-658-02313-9 Includes bibliographical references.Least Squares Estimation of the Local Variance via Plug-In.- Local Averaging Estimation of the Local Variance via Plug-In -- Partitioning Estimation of the Local Variance via Nearest Neighbors -- Estimation of the Local Variance under Censored Observations.Paola Gloria Ferrario develops and investigates several methods of nonparametric local variance estimation. The first two methods use regression estimations (plug-in), achieving least squares estimates as well as local averaging estimates (partitioning or kernel type). Furthermore, the author uses a partitioning method for the estimation of the local variance based on first and second nearest neighbors (instead of regression estimation). Approaching specific problems of application fields, all the results are extended and generalised to the case where only censored observations are available. Further, simulations have been executed comparing the performance of two different estimators (R-Code available!). As a possible application of the given theory the author proposes a survival analysis of patients who are treated for a specific illness.   Contents ·         Least Squares Estimation of the Local Variance via Plug-In ·         Local Averaging Estimation of the Local Variance via Plug-In ·         Partitioning Estimation of the Local Variance via Nearest Neighbors ·         Estimation of the Local Variance under Censored Observations     Target Groups ·         Researchers and graduate students in the fields of mathematics and statistics ·         Practitioners in the fields of medicine, reliability, finance, and insurance     Author Paola Gloria Ferrario received her doctorate degree (doctor rerum naturalium) from the University of Stuttgart, Germany, in 2012, after having studied Mathematical Engineering at the Polytechnic of Milano, Italy. She taught mathematics to students of economics at University of Hohenheim and now works as a researcher at the University of Lübeck, Germany.Data miningVariational inequalitiesData mining.Variational inequalities.519.546Ferrario Paola1963-1756318MiAaPQMiAaPQMiAaPQBOOK9910437860803321Local variance estimation for uncensored and censored observations4193544UNINA03577nam 22007215 450 991084759670332120240411084926.09783031564604303156460X10.1007/978-3-031-56460-4(CKB)5860000000528032(DE-He213)978-3-031-56460-4(MiAaPQ)EBC31319660(Au-PeEL)EBL31319660(MiAaPQ)EBC31273062(Au-PeEL)EBL31273062(OCoLC)1429845601(EXLCZ)99586000000052803220240410d2024 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization /by Federico Moretta, Giulia Bozzano1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (VIII, 69 p. 25 illus., 16 illus. in color.) SpringerBriefs in Energy,2191-55399783031564598 3031564596 Includes bibliographical references.What is anaerobic digestion? -- Reactions and operative conditions -- Energetic scenario in the XXI century -- Biomass in anaerobic digestion -- Biomass types and differences -- Principal biomass properties -- Experimental procedures -- Analytical methodologies.This book examines biomass mixture modeling and optimization. The book discusses anaerobic digestion and related fermentative processes and explains their compositional dynamics. Early chapter examine macromolecules, elemental fractions, and their direct influence on methane production. Supported by an extensive data bank of substrates obtained from research, the book points out correlations that enable the estimation of global methane production for diverse biomass mixtures. Furthermore, it provides valuable insights into discerning the optimal composition capable of yielding the utmost methane output. The book integrates cutting-edge machine learning techniques and shows how the programming language Python and Julia can be used for analysis and to optimize processes. It has many graphs, figures, and visuals. .SpringerBriefs in Energy,2191-5539Electric power productionMathematical modelsChemical engineeringStatisticsMechanical Power EngineeringMathematical Modeling and Industrial MathematicsChemical EngineeringStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesChemical Process EngineeringElectric power production.Mathematical models.Chemical engineering.Statistics.Mechanical Power Engineering.Mathematical Modeling and Industrial Mathematics.Chemical Engineering.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Chemical Process Engineering.589.9Moretta Federico1736453Bozzano GiuliaMiAaPQMiAaPQMiAaPQBOOK9910847596703321Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization4156297UNINA