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Generated at Fri, 15 Nov 2019 07:11:49 GMT exp-ck: undefined; xpa: ;
Electrode, Comp-703039921, DC-prod-az-southcentralus-7, ENV-prod-a, PROF-PROD, VER-19.1.31, SHA-771c9ce79737366b1d5f53d21cad4086bf722e21, CID-0a9e4e41-ccf-16e6de75b1f9c4, Generated: Fri, 15 Nov 2019 07:11:49 GMT

Applied Spatial Statistics

Walmart # 0471387711
$144.95$144.95
List Was $182.00
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About This Item

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While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data.
This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field
Requires only minimal background in public health and only some knowledge of statistics through multiple regression
Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure
Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks")
Exercises based on data analyses reinforce concepts

Specifications

Series Title
Wiley Probability and Statistics
Publisher
John Wiley and Sons, Inc.
Book Format
Other
Original Languages
English
Number of Pages
520
Author
Waller
ISBN-13
9780471387718
Publication Date
July, 2004
Assembled Product Dimensions (L x W x H)
9.58 x 6.44 x 1.14 Inches
ISBN-10
0471387711

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Electrode, Comp-812496334, DC-prod-az-southcentralus-13, ENV-prod-a, PROF-PROD, VER-30.0.3, SHA-fe0221a6ef49da0ab2505dfeca6fe7a05293b900, CID-9383e308-2ad-16e6deb5c960b3, Generated: Fri, 15 Nov 2019 07:16:11 GMT