Collecting Spatial Data : Optimum Design of Experiments for Random Fields
Language: English
Published by Springer, 2007
- Hardcover
- Used

Condition: Used - Fine
US$ 71.82
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Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | The book is concerned with the statistical theory for locating spatial sensors. It bridges the gap between spatial statistics and optimum design theory. After introductions to those two fields the topics of exploratory designs and designs for spatial trend and variogram estimation are treated. Special attention is devoted to describing new methodologies to cope with the problem of correlated observations.
Seller Inventory # 3002378/12
- Title
- Collecting Spatial Data : Optimum Design of Experiments for Random Fields
- Author
- Müller, Werner G.
- Publisher
- Springer
- Publication year
- 2007
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3540311742
- ISBN 13
- 9783540311744
- Edition
- 3rd Edition
- Seller catalogs
- Bücher
The book is concerned with the statistical theory for locating spatial sensors. It bridges the gap between spatial statistics and optimum design theory. After introductions to those two fields the topics of exploratory designs and designs for spatial trend and variogram estimation are treated. Special attention is devoted to describing new methodologies to cope with the problem of correlated observations.
"Synopsis" may belong to another edition of this title.
From the Back Cover
The book is concerned with the statistical theory for locating spatial sensors. It bridges the gap between spatial statistics and optimum design theory. After introductions to those two fields the topics of exploratory designs and designs for spatial trend and variogram estimation are treated. Special attention is devoted to describing new methodologies to cope with the problem of correlated observations. A great number of relevant references are collected and put into a common perspective. The theoretical investigations are accompanied by a practical example, the redesign of an Upper-Austrian air pollution monitoring network. A reader should be able to find respective theory and recommendations on how to efficiently plan a specific purpose spatial monitoring network. The third edition takes into account the rapid development in the area of spatial statistics by including new relevant research and references. The revised edition contains additional material on design for detecting spatial dependence and for estimating parametrized covariance functions.
"About the title" may belong to another edition of this title.
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| Item | 60 to 60 business days | 60 to 60 business days |
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