Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Müller, Werner G.
Titre(s) : Collecting spatial data [Texte électronique] : optimum design of experiments for random fields / Werner G. Müller
Édition : 3rd rev. and extended ed.
Publication : Berlin ; New York : Springer, cop. 2007
Description matérielle : 1 ressource dématérialisée
Note(s) : Includes bibliographical references
"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."--Jacket
Sujet(s) : Plan d'expérience
Champs aléatoires
Indice(s) Dewey :
001.434 (23e éd.) = Recherche - Méthode expérimentale
Identifiants, prix et caractéristiques : ISBN 9783540311751
Identifiant de la notice : ark:/12148/cb446854679
Notice n° :
FRBNF44685467
(notice reprise d'un réservoir extérieur)
Table des matières : 1 ; Introduction --2 ; Fundamentals of Spatial Statistics --2.1 ; Estimation of Spatial
Trend --2.2 ; Universal Kriging --2.3 ; Local Regression --2.4 ; Variogram Fitting
--2.5 ; Example --2.6 ; Exercises --3 ; Fundamentals of Experimental Design --3.1
; Information Matrices --3.2 ; Design Criteria --3.3 ; Numerical Algorithms --3.4
; Further Design Topics Useful in the Spatial Setting --3.5 ; Example --3.6 ; Exercises
--4 ; Exploratory Designs --4.1 ; Deterministic and Random Sampling --4.2 ; Space
Filling Designs --4.3 ; Designs for Local Regression --4.4 ; Model Discriminating
Designs --4.5 ; Example --4.6 ; Exercises --5 ; Designs for Spatial Trend Estimation
--5.1 ; Approximate Information Matrices --5.2 ; Replication-Free Designs --5.3 ;
Designs for Correlated Fields --5.4 ; Designs for Spatial Prediction --5.5 ; Example
--5.6 ; Exercises --6 ; Design and Dependence --6.1 ; Designs for Detecting Spatial
Dependence --6.2 ; Designs for Variogram Estimation --6.3 ; Methods Based on Likelihood
Approaches --6.4 ;