Spatio-temporal Design / Statistics in Practice (ePub)
Advances in Efficient Data Acquisition
(Sprache: Englisch)
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...
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...
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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 statistical analysis of data
that takes spatial and spatio-temporal information into account,
this book incorporates ideas from the areas of time series, spatial
statistics and stochastic processes, and combines them to discuss
optimum spatio-temporal sampling design.
Spatio-temporal Design: Advances in Efficient Data
Acquisition:
* Provides an up-to-date account of how to collect space-time
data for monitoring, with a focus on statistical aspects and the
latest computational methods
* Discusses basic methods and distinguishes between design and
model-based approaches to collecting space-time data.
* Features model-based frequentist design for univariate and
multivariate geostatistics, and second-phase spatial sampling.
* Integrates common data examples and case studies throughout the
book in order to demonstrate the different approaches and their
integration.
* Includes real data sets, data generating mechanisms and
simulation scenarios.
* Accompanied by a supporting website featuring R code.
Spatio-temporal Design presents an excellent book for
graduate level students as well as a valuable reference for
researchers and practitioners in the fields of applied mathematics,
engineering, and the environmental and health sciences.
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 statistical analysis of data
that takes spatial and spatio-temporal information into account,
this book incorporates ideas from the areas of time series, spatial
statistics and stochastic processes, and combines them to discuss
optimum spatio-temporal sampling design.
Spatio-temporal Design: Advances in Efficient Data
Acquisition:
* Provides an up-to-date account of how to collect space-time
data for monitoring, with a focus on statistical aspects and the
latest computational methods
* Discusses basic methods and distinguishes between design and
model-based approaches to collecting space-time data.
* Features model-based frequentist design for univariate and
multivariate geostatistics, and second-phase spatial sampling.
* Integrates common data examples and case studies throughout the
book in order to demonstrate the different approaches and their
integration.
* Includes real data sets, data generating mechanisms and
simulation scenarios.
* Accompanied by a supporting website featuring R code.
Spatio-temporal Design presents an excellent book for
graduate level students as well as a valuable reference for
researchers and practitioners in the fields of applied mathematics,
engineering, and the environmental and health sciences.
Autoren-Porträt
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.
Bibliographische Angaben
- 2012, 1. Auflage, 382 Seiten, Englisch
- Herausgegeben: Jorge Mateu, Werner G. Müller
- Verlag: John Wiley & Sons
- ISBN-10: 1118441885
- ISBN-13: 9781118441886
- Erscheinungsdatum: 05.11.2012
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 16 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
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