Cargando…

Collecting Spatial Data Optimum Design of Experiments for Random Fields /

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. Speci...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Müller, Werner G. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:3rd ed. 2007.
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-540-31175-1
003 DE-He213
005 20220113092750.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 |a 9783540311751  |9 978-3-540-31175-1 
024 7 |a 10.1007/978-3-540-31175-1  |2 doi 
050 4 |a HT388 
072 7 |a KCP  |2 bicssc 
072 7 |a GTB  |2 bicssc 
072 7 |a BUS067000  |2 bisacsh 
072 7 |a KCP  |2 thema 
072 7 |a GTM  |2 thema 
082 0 4 |a 330.9  |2 23 
100 1 |a Müller, Werner G.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Collecting Spatial Data  |h [electronic resource] :  |b Optimum Design of Experiments for Random Fields /  |c by Werner G. Müller. 
250 |a 3rd ed. 2007. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2007. 
300 |a XII, 242 p. 37 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Fundamentals of Spatial Statistics -- Fundamentals of Experimental Design -- Exploratory Designs -- Designs for Spatial Trend Estimation -- Design and Dependence -- Multipurpose Designs. 
520 |a 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. . 
650 0 |a Regional economics. 
650 0 |a Spatial economics. 
650 0 |a Statistics . 
650 0 |a Environmental sciences-Mathematics. 
650 0 |a Earth sciences. 
650 1 4 |a Regional and Spatial Economics. 
650 2 4 |a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
650 2 4 |a Mathematical Applications in Environmental Science. 
650 2 4 |a Earth Sciences. 
650 2 4 |a Statistics in Business, Management, Economics, Finance, Insurance. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642068294 
776 0 8 |i Printed edition:  |z 9783540819486 
776 0 8 |i Printed edition:  |z 9783540311744 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-540-31175-1  |z Texto Completo 
912 |a ZDB-2-SBE 
912 |a ZDB-2-SXEF 
950 |a Business and Economics (SpringerNature-11643) 
950 |a Economics and Finance (R0) (SpringerNature-43720)