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Collecting Spatial Data

Optimum Design of Experiments for Random Fields

By: Werner G. MÃ¼ller

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Hardcover | 29 August 2007 | Edition Number 3

At a Glance

Hardcover
256 Pages

Edition Type
Revised

Dimensions(cm)
24.13 x 15.88 x 1.91

Hardcover

$169.00

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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.

Industry Reviews

From the reviews of the third edition:

"Collecting Spatial Data signifies ... the state of the art of the design of spatial networks. ... the monograph is well focused on the important problem of spatial sampling. ... The book will continue to be a stalwart reference for practitioners in the field of spatial estimation and a thorough introduction for graduate students in the field. This third edition nicely fulfills the aim ... of providing an overview of classical and recent methods for the efficient collection of spatial data." (Michael Manton, Eos, Vol. 89 (15), 2008)

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You Can Find This Book In

Non-Fiction Science Science in General Mathematics Algebra Number Theory Optimisation Economics Econometrics Economic Statistics Probability & Statistics Political Economy

Engineering & Technology Environmental Science Earth Sciences, Geography, Environment, Planning Earth Sciences Geology & The Lithosphere Applied Mathematics

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Paperback

Published: 14th October 2010

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Introduction	p. 1
References	p. 9
Fundamentals of Spatial Statistics	p. 11
Estimation of Spatial Trend	p. 13
Universal Kriging	p. 14
Local Regression	p. 17
Variogram Fitting	p. 23
Example	p. 28
Exercises	p. 34
References	p. 37
Fundamentals of Experimental Design	p. 43
Information Matrices	p. 45
Design Criteria	p. 50
Numerical Algorithms	p. 57
Further Design Topics Useful in the Spatial Setting	p. 60
Example	p. 64
Exercises	p. 68
References	p. 70
Exploratory Designs	p. 77
Deterministic and Random Sampling	p. 79
Space Filling Designs	p. 82
Designs for Local Regression	p. 85
Model Discriminating Designs	p. 88
Example	p. 90
Exercises	p. 94
References	p. 96
Designs for Spatial Trend Estimation	p. 101
Approximate Information Matrices	p. 102
Replication-Free Designs	p. 105
Designs for Correlated Fields	p. 110
Designs for Spatial Prediction	p. 125
Example	p. 128
Exercises	p. 133
References	p. 135
Design and Dependence	p. 141
Designs for Detecting Spatial Dependence	p. 142
Designs for Variogram Estimation	p. 151
Methods Based on Likelihood Approaches	p. 161
Example	p. 162
Exercises	p. 167
References	p. 169
Multipurpose Designs	p. 173
Combining Different Purpose Designs	p. 175
Likelihood-based Approaches	p. 177
Alternative `Direct' Approaches	p. 180
Example	p. 182
Exercises	p. 186
References	p. 188
Appendix	p. 193
Data Sets	p. 193
Proofs for Chapter 2	p. 195
Proofs for Chapter 3	p. 196
Proofs for Chapter 4	p. 198
Proofs for Chapter 5	p. 201
Proofs for Chapter 6	p. 216
Proofs for Chapter 7	p. 217
D2PT Description	p. 218
References	p. 225
List of Figures	p. 227
Author Index	p. 229
Subject Index	p. 237
Table of Contents provided by Publisher. All Rights Reserved.

Collecting Spatial Data

Optimum Design of Experiments for Random Fields

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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