Verfügbarkeit: Spatio-temporal design

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Titel:	Spatio-temporal design advances in efficient data acquisition
Von:	edited by Jorge Mateu, Department of Mathematics of the University Jaume I of Castellon, Spain, Werner G. Müller, Department of Applied Statistics, Johannes Kepler University Linz, Austria
Person:	Mateu, Jorge Müller, Werner G. 1965-
Weitere Personen:	Mateu, Jorge (HerausgeberIn), Müller, Werner G. 1965- (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Chichester, West Sussex, United Kingdom Wiley 2013
Schriftenreihe:	Statistics in practice
Schlagworte:	MATHEMATICS / Probability & Statistics / General Sampling (Statistics) Spatial analysis (Statistics) Time-series analysis Datenerhebung Zeitreihenanalyse Räumliche Statistik Electronic books Aufsatzsammlung
Online-Zugang:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781118441862 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118441862 https://doi.org/10.1002/9781118441862 https://doi.org/10.1002/9781118441862
Beschreibung:	Includes bibliographical references and index A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. A common problem set is interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to the problem at hand. Motivated by the high demand for stat
Beschreibung:	1 Online-Ressource (xx, 349 pages)
ISBN:	9781118441862 1118441869 9781118441886 1118441885
DOI:	10.1002/9781118441862

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Datensatz im Suchindex

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isbn	9781118441862 1118441869 9781118441886 1118441885
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spelling	Spatio-temporal design advances in efficient data acquisition edited by Jorge Mateu, Department of Mathematics of the University Jaume I of Castellon, Spain, Werner G. Müller, Department of Applied Statistics, Johannes Kepler University Linz, Austria Chichester, West Sussex, United Kingdom Wiley 2013 1 Online-Ressource (xx, 349 pages) txt rdacontent c rdamedia cr rdacarrier Statistics in practice Includes bibliographical references and index A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. A common problem set is interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to the problem at hand. Motivated by the high demand for stat MATHEMATICS / Probability & Statistics / General bisacsh Sampling (Statistics) fast Spatial analysis (Statistics) fast Time-series analysis fast Sampling (Statistics) Spatial analysis (Statistics) Time-series analysis Datenerhebung (DE-588)4155272-6 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Räumliche Statistik (DE-588)4386767-4 gnd rswk-swf Electronic books 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Räumliche Statistik (DE-588)4386767-4 s Zeitreihenanalyse (DE-588)4067486-1 s Datenerhebung (DE-588)4155272-6 s DE-604 Mateu, Jorge (DE-588)111636865X edt Müller, Werner G. 1965- (DE-588)171053788 edt Erscheint auch als Druck-Ausgabe 978-0-470-97429-2 https://doi.org/10.1002/9781118441862 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Spatio-temporal design advances in efficient data acquisition MATHEMATICS / Probability & Statistics / General bisacsh Sampling (Statistics) fast Spatial analysis (Statistics) fast Time-series analysis fast Sampling (Statistics) Spatial analysis (Statistics) Time-series analysis Datenerhebung (DE-588)4155272-6 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd Räumliche Statistik (DE-588)4386767-4 gnd
subject_GND	(DE-588)4155272-6 (DE-588)4067486-1 (DE-588)4386767-4 (DE-588)4143413-4
title	Spatio-temporal design advances in efficient data acquisition
title_auth	Spatio-temporal design advances in efficient data acquisition
title_exact_search	Spatio-temporal design advances in efficient data acquisition
title_full	Spatio-temporal design advances in efficient data acquisition edited by Jorge Mateu, Department of Mathematics of the University Jaume I of Castellon, Spain, Werner G. Müller, Department of Applied Statistics, Johannes Kepler University Linz, Austria
title_fullStr	Spatio-temporal design advances in efficient data acquisition edited by Jorge Mateu, Department of Mathematics of the University Jaume I of Castellon, Spain, Werner G. Müller, Department of Applied Statistics, Johannes Kepler University Linz, Austria
title_full_unstemmed	Spatio-temporal design advances in efficient data acquisition edited by Jorge Mateu, Department of Mathematics of the University Jaume I of Castellon, Spain, Werner G. Müller, Department of Applied Statistics, Johannes Kepler University Linz, Austria
title_short	Spatio-temporal design
title_sort	spatio temporal design advances in efficient data acquisition
title_sub	advances in efficient data acquisition
topic	MATHEMATICS / Probability & Statistics / General bisacsh Sampling (Statistics) fast Spatial analysis (Statistics) fast Time-series analysis fast Sampling (Statistics) Spatial analysis (Statistics) Time-series analysis Datenerhebung (DE-588)4155272-6 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd Räumliche Statistik (DE-588)4386767-4 gnd
topic_facet	MATHEMATICS / Probability & Statistics / General Sampling (Statistics) Spatial analysis (Statistics) Time-series analysis Datenerhebung Zeitreihenanalyse Räumliche Statistik Aufsatzsammlung
url	https://doi.org/10.1002/9781118441862
work_keys_str_mv	AT mateujorge spatiotemporaldesignadvancesinefficientdataacquisition AT mullerwernerg spatiotemporaldesignadvancesinefficientdataacquisition

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