Scan Statistics:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2001
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Schriftenreihe: | Springer Series in Statistics
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | In many statistical applications the scientists have to analyze the occurrence of observed clusters of events in time or space. The scientists are especially interested to determine whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Applications of scan statistics have been recorded in many areas of science and technology including: geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics |
Beschreibung: | 1 Online-Ressource (XVI, 372 p) |
ISBN: | 9781475734607 9781441931672 |
ISSN: | 0172-7397 |
DOI: | 10.1007/978-1-4757-3460-7 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author | Glaz, Joseph |
author_facet | Glaz, Joseph |
author_role | aut |
author_sort | Glaz, Joseph |
author_variant | j g jg |
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collection | ZDB-2-SMA ZDB-2-BAE |
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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 | 10.1007/978-1-4757-3460-7 |
format | Electronic eBook |
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id | DE-604.BV042421476 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:21:09Z |
institution | BVB |
isbn | 9781475734607 9781441931672 |
issn | 0172-7397 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027856893 |
oclc_num | 1184495006 |
open_access_boolean | |
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owner_facet | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
physical | 1 Online-Ressource (XVI, 372 p) |
psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
publishDate | 2001 |
publishDateSearch | 2001 |
publishDateSort | 2001 |
publisher | Springer New York |
record_format | marc |
series2 | Springer Series in Statistics |
spelling | Glaz, Joseph Verfasser aut Scan Statistics by Joseph Glaz, Joseph Naus, Sylvan Wallenstein New York, NY Springer New York 2001 1 Online-Ressource (XVI, 372 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 In many statistical applications the scientists have to analyze the occurrence of observed clusters of events in time or space. The scientists are especially interested to determine whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Applications of scan statistics have been recorded in many areas of science and technology including: geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s 1\p DE-604 Naus, Joseph Sonstige oth Wallenstein, Sylvan Sonstige oth https://doi.org/10.1007/978-1-4757-3460-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Glaz, Joseph Scan Statistics Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik Statistik (DE-588)4056995-0 gnd |
subject_GND | (DE-588)4056995-0 |
title | Scan Statistics |
title_auth | Scan Statistics |
title_exact_search | Scan Statistics |
title_full | Scan Statistics by Joseph Glaz, Joseph Naus, Sylvan Wallenstein |
title_fullStr | Scan Statistics by Joseph Glaz, Joseph Naus, Sylvan Wallenstein |
title_full_unstemmed | Scan Statistics by Joseph Glaz, Joseph Naus, Sylvan Wallenstein |
title_short | Scan Statistics |
title_sort | scan statistics |
topic | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik Statistik (DE-588)4056995-0 gnd |
topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik |
url | https://doi.org/10.1007/978-1-4757-3460-7 |
work_keys_str_mv | AT glazjoseph scanstatistics AT nausjoseph scanstatistics AT wallensteinsylvan scanstatistics |