MARC Record from Library of Congress

LEADER: 02896cam a22004217i 4500
001 2013444024
003 DLC
005 20141204081928.0
008 131025t20142014flua b 001 0 eng d
010 $a 2013444024
015 $aGBB376753$2bnb
016 7 $a016482921$2Uk
020 $a9781466560239 (hbk.)
020 $a1466560231 (hbk.)
035 $a(OCoLC)ocn857524740
040 $aUKMGB$beng$cUKMGB$erda$dOCLCO$dYDXCP$dSSJ$dIBS$dOCLCO$dIBS$dOCLCA$dDLC
042 $alccopycat
050 00 $aQA278.2$b.D54 2014
082 04 $a519.535$223
100 1 $aDiggle, Peter,$eauthor.
245 10 $aStatistical analysis of spatial and spatio-temporal point patterns /$cPeter J. Diggle, Lancaster University, England, UK.
250 $aThird edition.
264 1 $aBoca Raton :$bCRC Press, Taylor & Francis Group,$c[2014]
264 4 $c©2014
300 $axxxi, 267 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aMonographs on statistics and applied probability ;$v128
500 $a"A Chapman & Hall book."
504 $aIncludes bibliographical references (pages 245-262) and index.
505 0 $aPreliminary testing -- Methods for sparsely sampled patterns -- Spatial point processes -- Nonparametric methods -- Models -- Model-fitting using summary descriptions -- Model-fitting using likelihood-based methods -- Point process methods in spatial epidemiology -- Spatio-temporal point processes -- Exploratory analysis -- Empirical models and methods -- Mechanistic models and methods.
520 $aWritten by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that use spatio-temporally indexed data. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author's website --$cSource other than Library of Congress.
650 0 $aSpatial analysis (Statistics)
650 0 $aStatistics.
653 0 $aR code
830 0 $aMonographs on statistics and applied probability (Series) ;$v128.
856 $uhttp://www.lancaster.ac.uk/staff/diggle/pointpatternbook/