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Herausgeber: 
  • Ramon Giraldo
  • Mateu Jorge
  • Geostatistical Functional Data Analysis 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2021  
    Genre:  Schulbücher 
     
    Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle / Applied Probability & Statistics - Models / Environmental Science / Environmental Statistics & Environmetrics / Environmental Studies / Geostatistik / Statistics / Statistik
    ISBN:  9781119387848 
    EAN-Code: 
    9781119387848 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 221 mm / B 150 mm / D 31 mm 
    Gewicht:  794 gr 
    Seiten:  448 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Geostatistical Functional Data Analysis Explore the intersection between geostatistics and functional data analysis with this insightful new reference Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present. The Editors link together the wide research areas of geostatistics and functional data analysis to provide the reader with a new area called geostatistical functional data analysis that will bring new insights and new open questions to researchers coming from both scientific fields. This book provides a complete and up-to-date account to deal with functional data that is spatially correlated, but also includes the most innovative developments in different open avenues in this field. Containing contributions from leading experts in the field, this practical guide provides readers with the necessary tools to employ and adapt classic statistical techniques to handle spatial regression. The book also includes: * A thorough introduction to the spatial kriging methodology when working with functions * A detailed exposition of more classical statistical techniques adapted to the functional case and extended to handle spatial correlations * Practical discussions of ANOVA, regression, and clustering methods to explore spatial correlation in a collection of curves sampled in a region * In-depth explorations of the similarities and differences between spatio-temporal data analysis and functional data analysis Aimed at mathematicians, statisticians, postgraduate students, and researchers involved in the analysis of functional and spatial data, Geostatistical Functional Data Analysis will also prove to be a powerful addition to the libraries of geoscientists, environmental scientists, and economists seeking insightful new knowledge and questions at the interface of geostatistics and functional data analysis.

      



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