{"id":"https://openalex.org/W2016281496","doi":"https://doi.org/10.1080/03610910701739605","title":"Efficient Confidence Interval Methodologies for the Non Centrality Parameter of a Non Central<i>t</i>Distribution","display_name":"Efficient Confidence Interval Methodologies for the Non Centrality Parameter of a Non Central<i>t</i>Distribution","publication_year":2008,"publication_date":"2008-02-27","ids":{"openalex":"https://openalex.org/W2016281496","doi":"https://doi.org/10.1080/03610910701739605","mag":"2016281496"},"language":"en","primary_location":{"id":"doi:10.1080/03610910701739605","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910701739605","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009314752","display_name":"Jongphil Kim","orcid":"https://orcid.org/0000-0002-7430-2226"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jongphil Kim","raw_affiliation_strings":["\n                   \n               School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA","School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta Georgia USA"],"affiliations":[{"raw_affiliation_string":"\n                   \n               School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta Georgia USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041575408","display_name":"Anthony J. Hayter","orcid":null},"institutions":[{"id":"https://openalex.org/I2914838877","display_name":"DSST Public Schools","ror":"https://ror.org/05dsfsy10","country_code":"US","type":"education","lineage":["https://openalex.org/I2914838877"]},{"id":"https://openalex.org/I131651094","display_name":"University of Denver","ror":"https://ror.org/04w7skc03","country_code":"US","type":"education","lineage":["https://openalex.org/I131651094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony J. Hayter","raw_affiliation_strings":["\n                   \n               Department of Statistics and Operations Technology, University of Denver, Denver, Colorado, USA","Department of Statistics and Operations Technology , University of Denver , Denver, Colorado, USA"],"affiliations":[{"raw_affiliation_string":"\n                   \n               Department of Statistics and Operations Technology, University of Denver, Denver, Colorado, USA","institution_ids":["https://openalex.org/I131651094","https://openalex.org/I2914838877"]},{"raw_affiliation_string":"Department of Statistics and Operations Technology , University of Denver , Denver, Colorado, USA","institution_ids":["https://openalex.org/I131651094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009314752"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.62109343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"37","issue":"4","first_page":"660","last_page":"678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9498999714851379,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9021000266075134,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.7644132375717163},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.7590028643608093},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5473052859306335},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5218316912651062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49085789918899536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3556489944458008},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06962883472442627}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.7644132375717163},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.7590028643608093},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5473052859306335},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5218316912651062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49085789918899536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3556489944458008},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06962883472442627}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610910701739605","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910701739605","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W67460294","https://openalex.org/W1964217647","https://openalex.org/W1973790626","https://openalex.org/W1991567646","https://openalex.org/W2024075858","https://openalex.org/W2028223227","https://openalex.org/W2045638068","https://openalex.org/W2050035105","https://openalex.org/W2052051182","https://openalex.org/W2057025327","https://openalex.org/W2079078709","https://openalex.org/W2799002609","https://openalex.org/W2801336698","https://openalex.org/W4210572675","https://openalex.org/W4237438296","https://openalex.org/W4238417209","https://openalex.org/W4240371190","https://openalex.org/W4245297997","https://openalex.org/W4255055144"],"related_works":["https://openalex.org/W2995364151","https://openalex.org/W797163146","https://openalex.org/W1899429405","https://openalex.org/W2401903608","https://openalex.org/W1973036726","https://openalex.org/W4221078923","https://openalex.org/W2066458123","https://openalex.org/W2513330125","https://openalex.org/W1578234703","https://openalex.org/W2084691705"],"abstract_inverted_index":{"Abstract":[0],"This":[1,22,66],"article":[2],"considers":[3],"the":[4,12,26,36,55],"problem":[5],"of":[6,16,38,87],"constructing":[7],"a":[8,17,59],"confidence":[9,52],"interval":[10],"for":[11,40,63,72],"non":[13,18],"centrality":[14],"parameter":[15],"central":[19],"t":[20,89],"distribution.":[21],"has":[23],"applications":[24],"to":[25,28,35],"signal":[27],"noise":[29],"ratio":[30],"in":[31],"regression":[32],"problems":[33],"and":[34,58,74],"coefficient":[37],"variation":[39],"normally":[41],"distributed":[42],"data.":[43],"A":[44],"new":[45,67],"procedure":[46,68],"is":[47,61],"developed":[48],"that":[49],"provides":[50,78],"shorter":[51],"intervals":[53],"than":[54],"standard":[56],"procedure,":[57],"program":[60],"available":[62],"its":[64,75],"implementation.":[65],"will":[69],"be":[70],"useful":[71],"practitioners,":[73],"development":[76],"also":[77],"some":[79],"interesting":[80],"theoretical":[81],"results.":[82],"Keywords:":[83],"Acceptance":[84],"setsConfidence":[85],"intervalsDegrees":[86],"freedomEfficiencyNoncentral":[88],"distributionSkewnessMathematics":[90],"Subject":[91],"Classification:":[92],"62H15":[93]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
