Interpolation of Spatial Data: Some Theory for Kriging
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1999
|
Schriftenreihe: | Springer Series in Statistics
|
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors under a particular model for the field, is commonly used in all these areas of prediction. This book summarizes past work and describes new approaches to thinking about kriging |
Beschreibung: | 1 Online-Ressource (XVII, 249 p) |
ISBN: | 9781461214946 9781461271666 |
ISSN: | 0172-7397 |
DOI: | 10.1007/978-1-4612-1494-6 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV042419844 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 150317s1999 |||| o||u| ||||||eng d | ||
020 | |a 9781461214946 |c Online |9 978-1-4612-1494-6 | ||
020 | |a 9781461271666 |c Print |9 978-1-4612-7166-6 | ||
024 | 7 | |a 10.1007/978-1-4612-1494-6 |2 doi | |
035 | |a (OCoLC)1184292315 | ||
035 | |a (DE-599)BVBBV042419844 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-384 |a DE-703 |a DE-91 |a DE-634 | ||
082 | 0 | |a 519.5 |2 23 | |
084 | |a MAT 000 |2 stub | ||
100 | 1 | |a Stein, Michael L. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Interpolation of Spatial Data |b Some Theory for Kriging |c by Michael L. Stein |
264 | 1 | |a New York, NY |b Springer New York |c 1999 | |
300 | |a 1 Online-Ressource (XVII, 249 p) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Springer Series in Statistics |x 0172-7397 | |
500 | |a Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors under a particular model for the field, is commonly used in all these areas of prediction. This book summarizes past work and describes new approaches to thinking about kriging | ||
650 | 4 | |a Statistics | |
650 | 4 | |a Geography | |
650 | 4 | |a Geology | |
650 | 4 | |a Mathematical statistics | |
650 | 4 | |a Statistical Theory and Methods | |
650 | 4 | |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | |
650 | 4 | |a Geography (general) | |
650 | 4 | |a Earth Sciences, general | |
650 | 4 | |a Geografie | |
650 | 4 | |a Geologie | |
650 | 4 | |a Statistik | |
650 | 0 | 7 | |a Kriging |0 (DE-588)4339232-5 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Kriging |0 (DE-588)4339232-5 |D s |
689 | 0 | |8 1\p |5 DE-604 | |
856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4612-1494-6 |x Verlag |3 Volltext |
912 | |a ZDB-2-SMA |a ZDB-2-BAE | ||
940 | 1 | |q ZDB-2-SMA_Archive | |
999 | |a oai:aleph.bib-bvb.de:BVB01-027855261 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk |
Datensatz im Suchindex
_version_ | 1804153090979397632 |
---|---|
any_adam_object | |
author | Stein, Michael L. |
author_facet | Stein, Michael L. |
author_role | aut |
author_sort | Stein, Michael L. |
author_variant | m l s ml mls |
building | Verbundindex |
bvnumber | BV042419844 |
classification_tum | MAT 000 |
collection | ZDB-2-SMA ZDB-2-BAE |
ctrlnum | (OCoLC)1184292315 (DE-599)BVBBV042419844 |
dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-1-4612-1494-6 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02288nmm a2200541zc 4500</leader><controlfield tag="001">BV042419844</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150317s1999 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461214946</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4612-1494-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461271666</subfield><subfield code="c">Print</subfield><subfield code="9">978-1-4612-7166-6</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4612-1494-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1184292315</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042419844</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Stein, Michael L.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Interpolation of Spatial Data</subfield><subfield code="b">Some Theory for Kriging</subfield><subfield code="c">by Michael L. Stein</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Springer New York</subfield><subfield code="c">1999</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XVII, 249 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Springer Series in Statistics</subfield><subfield code="x">0172-7397</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors under a particular model for the field, is commonly used in all these areas of prediction. This book summarizes past work and describes new approaches to thinking about kriging</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geography</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Theory and Methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geography (general)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Earth Sciences, general</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geografie</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geologie</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistik</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Kriging</subfield><subfield code="0">(DE-588)4339232-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Kriging</subfield><subfield code="0">(DE-588)4339232-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4612-1494-6</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SMA</subfield><subfield code="a">ZDB-2-BAE</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SMA_Archive</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027855261</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
id | DE-604.BV042419844 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:21:05Z |
institution | BVB |
isbn | 9781461214946 9781461271666 |
issn | 0172-7397 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027855261 |
oclc_num | 1184292315 |
open_access_boolean | |
owner | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
owner_facet | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
physical | 1 Online-Ressource (XVII, 249 p) |
psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
publishDate | 1999 |
publishDateSearch | 1999 |
publishDateSort | 1999 |
publisher | Springer New York |
record_format | marc |
series2 | Springer Series in Statistics |
spelling | Stein, Michael L. Verfasser aut Interpolation of Spatial Data Some Theory for Kriging by Michael L. Stein New York, NY Springer New York 1999 1 Online-Ressource (XVII, 249 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors under a particular model for the field, is commonly used in all these areas of prediction. This book summarizes past work and describes new approaches to thinking about kriging Statistics Geography Geology Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geography (general) Earth Sciences, general Geografie Geologie Statistik Kriging (DE-588)4339232-5 gnd rswk-swf Kriging (DE-588)4339232-5 s 1\p DE-604 https://doi.org/10.1007/978-1-4612-1494-6 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Stein, Michael L. Interpolation of Spatial Data Some Theory for Kriging Statistics Geography Geology Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geography (general) Earth Sciences, general Geografie Geologie Statistik Kriging (DE-588)4339232-5 gnd |
subject_GND | (DE-588)4339232-5 |
title | Interpolation of Spatial Data Some Theory for Kriging |
title_auth | Interpolation of Spatial Data Some Theory for Kriging |
title_exact_search | Interpolation of Spatial Data Some Theory for Kriging |
title_full | Interpolation of Spatial Data Some Theory for Kriging by Michael L. Stein |
title_fullStr | Interpolation of Spatial Data Some Theory for Kriging by Michael L. Stein |
title_full_unstemmed | Interpolation of Spatial Data Some Theory for Kriging by Michael L. Stein |
title_short | Interpolation of Spatial Data |
title_sort | interpolation of spatial data some theory for kriging |
title_sub | Some Theory for Kriging |
topic | Statistics Geography Geology Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geography (general) Earth Sciences, general Geografie Geologie Statistik Kriging (DE-588)4339232-5 gnd |
topic_facet | Statistics Geography Geology Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geography (general) Earth Sciences, general Geografie Geologie Statistik Kriging |
url | https://doi.org/10.1007/978-1-4612-1494-6 |
work_keys_str_mv | AT steinmichaell interpolationofspatialdatasometheoryforkriging |