A new development cycle of the Statistical Toolkit

The Statistical Toolkit is an open source system specialized in the statistical comparison of distributions. It addresses requirements common to different experimental domains, such as simulation validation (e.g. comparison of experimental and simulated distributions), regression testing in the cour...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of physics. Conference series 2012-01, Vol.396 (5), p.52010-5
Hauptverfasser: BatiĈ, M, Paganoni, A M, Pfeiffer, A, Pia, M G, Ribon, A
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 5
container_issue 5
container_start_page 52010
container_title Journal of physics. Conference series
container_volume 396
creator BatiĈ, M
Paganoni, A M
Pfeiffer, A
Pia, M G
Ribon, A
description The Statistical Toolkit is an open source system specialized in the statistical comparison of distributions. It addresses requirements common to different experimental domains, such as simulation validation (e.g. comparison of experimental and simulated distributions), regression testing in the course of the software development process, and detector performance monitoring. Various sets of statistical tests have been added to the existing collection to deal with the one sample problem (i.e. the comparison between the data distribution and a known one, including tests for normality, categorical analysis and the estimate of randomness). Improved algorithms and software design contribute to the robustness of the results. A simple user layer dealing with primitive data types facilitates the use of the toolkit both in standalone analyses and in large scale experiments.
doi_str_mv 10.1088/1742-6596/396/5/052010
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1770270424</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1770270424</sourcerecordid><originalsourceid>FETCH-LOGICAL-c347t-60243b400ba1eac735f325c825af9b041a2703e023a88921bb0a0f32e17c4f2f3</originalsourceid><addsrcrecordid>eNpdkEtLAzEQgIMoWKt_QQJevKydvDbZYym-oODBeg7ZmODWdFM3WaX_3pRKDw4MMzAfM8OH0DWBOwJKzYjktKpFU89YSTEDQYHACZocB6fHXqlzdJHSGoCVkBNE57h3P_jdfbsQtxvXZ2x3NjgcPc4fDr9mk7uUO2sCXsUYPrt8ic68Ccld_dUpenu4Xy2equXL4_Nivqws4zJXNVDOWg7QGuKMlUx4RoVVVBjftMCJoRKYA8qMUg0lbQsGCuKItNxTz6bo9rB3O8Sv0aWsN12yLgTTuzgmTaSEsoKXM1N08w9dx3Hoy3eaCqkolw0VhaoPlB1iSoPzejt0GzPsNAG9V6n3lvTemC4qtdAHlewXtNdkQw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2578247925</pqid></control><display><type>article</type><title>A new development cycle of the Statistical Toolkit</title><source>IOP Publishing Free Content</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>IOPscience extra</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>BatiĈ, M ; Paganoni, A M ; Pfeiffer, A ; Pia, M G ; Ribon, A</creator><creatorcontrib>BatiĈ, M ; Paganoni, A M ; Pfeiffer, A ; Pia, M G ; Ribon, A</creatorcontrib><description>The Statistical Toolkit is an open source system specialized in the statistical comparison of distributions. It addresses requirements common to different experimental domains, such as simulation validation (e.g. comparison of experimental and simulated distributions), regression testing in the course of the software development process, and detector performance monitoring. Various sets of statistical tests have been added to the existing collection to deal with the one sample problem (i.e. the comparison between the data distribution and a known one, including tests for normality, categorical analysis and the estimate of randomness). Improved algorithms and software design contribute to the robustness of the results. A simple user layer dealing with primitive data types facilitates the use of the toolkit both in standalone analyses and in large scale experiments.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/396/5/052010</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Algorithms ; Computer simulation ; Detectors ; Normality ; Physics ; Samples ; Software ; Software development ; Source code ; Statistical analysis ; Statistical methods ; Statistical tests ; Toolkits</subject><ispartof>Journal of physics. Conference series, 2012-01, Vol.396 (5), p.52010-5</ispartof><rights>Copyright IOP Publishing Dec 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c347t-60243b400ba1eac735f325c825af9b041a2703e023a88921bb0a0f32e17c4f2f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>BatiĈ, M</creatorcontrib><creatorcontrib>Paganoni, A M</creatorcontrib><creatorcontrib>Pfeiffer, A</creatorcontrib><creatorcontrib>Pia, M G</creatorcontrib><creatorcontrib>Ribon, A</creatorcontrib><title>A new development cycle of the Statistical Toolkit</title><title>Journal of physics. Conference series</title><description>The Statistical Toolkit is an open source system specialized in the statistical comparison of distributions. It addresses requirements common to different experimental domains, such as simulation validation (e.g. comparison of experimental and simulated distributions), regression testing in the course of the software development process, and detector performance monitoring. Various sets of statistical tests have been added to the existing collection to deal with the one sample problem (i.e. the comparison between the data distribution and a known one, including tests for normality, categorical analysis and the estimate of randomness). Improved algorithms and software design contribute to the robustness of the results. A simple user layer dealing with primitive data types facilitates the use of the toolkit both in standalone analyses and in large scale experiments.</description><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Detectors</subject><subject>Normality</subject><subject>Physics</subject><subject>Samples</subject><subject>Software</subject><subject>Software development</subject><subject>Source code</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistical tests</subject><subject>Toolkits</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkEtLAzEQgIMoWKt_QQJevKydvDbZYym-oODBeg7ZmODWdFM3WaX_3pRKDw4MMzAfM8OH0DWBOwJKzYjktKpFU89YSTEDQYHACZocB6fHXqlzdJHSGoCVkBNE57h3P_jdfbsQtxvXZ2x3NjgcPc4fDr9mk7uUO2sCXsUYPrt8ic68Ccld_dUpenu4Xy2equXL4_Nivqws4zJXNVDOWg7QGuKMlUx4RoVVVBjftMCJoRKYA8qMUg0lbQsGCuKItNxTz6bo9rB3O8Sv0aWsN12yLgTTuzgmTaSEsoKXM1N08w9dx3Hoy3eaCqkolw0VhaoPlB1iSoPzejt0GzPsNAG9V6n3lvTemC4qtdAHlewXtNdkQw</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>BatiĈ, M</creator><creator>Paganoni, A M</creator><creator>Pfeiffer, A</creator><creator>Pia, M G</creator><creator>Ribon, A</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7U5</scope><scope>8BQ</scope><scope>JG9</scope></search><sort><creationdate>20120101</creationdate><title>A new development cycle of the Statistical Toolkit</title><author>BatiĈ, M ; Paganoni, A M ; Pfeiffer, A ; Pia, M G ; Ribon, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-60243b400ba1eac735f325c825af9b041a2703e023a88921bb0a0f32e17c4f2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Detectors</topic><topic>Normality</topic><topic>Physics</topic><topic>Samples</topic><topic>Software</topic><topic>Software development</topic><topic>Source code</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistical tests</topic><topic>Toolkits</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>BatiĈ, M</creatorcontrib><creatorcontrib>Paganoni, A M</creatorcontrib><creatorcontrib>Pfeiffer, A</creatorcontrib><creatorcontrib>Pia, M G</creatorcontrib><creatorcontrib>Ribon, A</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Materials Research Database</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>BatiĈ, M</au><au>Paganoni, A M</au><au>Pfeiffer, A</au><au>Pia, M G</au><au>Ribon, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new development cycle of the Statistical Toolkit</atitle><jtitle>Journal of physics. Conference series</jtitle><date>2012-01-01</date><risdate>2012</risdate><volume>396</volume><issue>5</issue><spage>52010</spage><epage>5</epage><pages>52010-5</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>The Statistical Toolkit is an open source system specialized in the statistical comparison of distributions. It addresses requirements common to different experimental domains, such as simulation validation (e.g. comparison of experimental and simulated distributions), regression testing in the course of the software development process, and detector performance monitoring. Various sets of statistical tests have been added to the existing collection to deal with the one sample problem (i.e. the comparison between the data distribution and a known one, including tests for normality, categorical analysis and the estimate of randomness). Improved algorithms and software design contribute to the robustness of the results. A simple user layer dealing with primitive data types facilitates the use of the toolkit both in standalone analyses and in large scale experiments.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/396/5/052010</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1742-6588
ispartof Journal of physics. Conference series, 2012-01, Vol.396 (5), p.52010-5
issn 1742-6588
1742-6596
language eng
recordid cdi_proquest_miscellaneous_1770270424
source IOP Publishing Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; IOPscience extra; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry
subjects Algorithms
Computer simulation
Detectors
Normality
Physics
Samples
Software
Software development
Source code
Statistical analysis
Statistical methods
Statistical tests
Toolkits
title A new development cycle of the Statistical Toolkit
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T03%3A02%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20new%20development%20cycle%20of%20the%20Statistical%20Toolkit&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Bati%C4%88,%20M&rft.date=2012-01-01&rft.volume=396&rft.issue=5&rft.spage=52010&rft.epage=5&rft.pages=52010-5&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/396/5/052010&rft_dat=%3Cproquest_cross%3E1770270424%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2578247925&rft_id=info:pmid/&rfr_iscdi=true