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Record ID harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:961249343:2938
Source harvard_bibliographic_metadata
Download Link /show-records/harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:961249343:2938?format=raw

LEADER: 02938nam a22005175a 4500
001 013843222-8
005 20131206203457.0
008 130605s1994 ne | s ||0| 0|eng d
020 $a9789401582674
020 $a9789401582674
020 $a9789048143726
024 7 $a10.1007/978-94-015-8267-4$2doi
035 $a(Springer)9789401582674
040 $aSpringer
050 4 $aQA276-280
072 7 $aPBT$2bicssc
072 7 $aPD$2bicssc
072 7 $aMAT029000$2bisacsh
082 04 $a519.5$223
100 1 $aArmstrong, M.,$eeditor.
245 10 $aGeostatistical Simulations :$bProceedings of the Geostatistical Simulation Workshop, Fontainebleau, France, 27–28 May 1993 /$cedited by M. Armstrong, P. A. Dowd.
246 3 $aProceedings of the Geostatistical Simulation Workshop, Fontainebleau, France, 27--28 May 1993
264 1 $aDordrecht :$bSpringer Netherlands :$bImprint: Springer,$c1994.
300 $aXI, 257 p.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aQuantitative Geology and Geostatistics,$x0924-1973 ;$v7
520 $aThis book contains selected contributions from the Workshop on Geostatistical Simulations, which was held in Fontainebleau, May 1993. The papers included are an accurate reflection of the current debates, applications and research interests in geostatistical simulation. Nowadays, in addition to the original turning bands method, there are several other established methods of geostatistical simulation. The continued development of these methods is driven by problems encountered in the implementation of existing methods, e.g. the search for more efficient algorithms, the desire to incorporate new variables such as (geometrical or geological) shapes, the perceived need to eliminate parametric approaches, and the new end-uses of simulated images or models. A number of the most important questions raised are: How are simulation methods and simulated images to be assessed? What properties of simulated images are inherent in the methods used to obtain the images? Are some methods more suitable to specific applications than others?
650 20 $aHydrogeology.
650 10 $aStatistics.
650 0 $aDistribution (Probability theory)
650 0 $aStatistics.
650 0 $aGeologyxMathematics.
650 0 $aHydraulic engineering.
650 0 $aEnvironmental protection.
650 24 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 24 $aProbability Theory and Stochastic Processes.
650 24 $aQuantitative Geology.
650 24 $aAtmospheric Protection/Air Quality Control/Air Pollution.
700 1 $aDowd, P. A.,$eeditor.
776 08 $iPrinted edition:$z9789048143726
830 0 $aQuantitative Geology and Geostatistics ;$v7.
988 $a20131119
906 $0VEN