{"id":"https://openalex.org/W3084779477","doi":"https://doi.org/10.1007/s00180-020-00986-0","title":"On matching confidence intervals and tests for some discrete distributions: methodological and computational aspects","display_name":"On matching confidence intervals and tests for some discrete distributions: methodological and computational aspects","publication_year":2020,"publication_date":"2020-04-18","ids":{"openalex":"https://openalex.org/W3084779477","doi":"https://doi.org/10.1007/s00180-020-00986-0","mag":"3084779477"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-020-00986-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-020-00986-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-020-00986-0.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00180-020-00986-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048587657","display_name":"Jan Klaschka","orcid":"https://orcid.org/0000-0001-5923-5224"},"institutions":[{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]},{"id":"https://openalex.org/I202391551","display_name":"Czech Academy of Sciences","ror":"https://ror.org/053avzc18","country_code":"CZ","type":"funder","lineage":["https://openalex.org/I202391551"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jan Klaschka","raw_affiliation_strings":["Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic","institution_ids":["https://openalex.org/I4210155092","https://openalex.org/I202391551"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009047435","display_name":"Jen\u0151 Reiczigel","orcid":"https://orcid.org/0000-0003-4232-6386"},"institutions":[{"id":"https://openalex.org/I4210136554","display_name":"University of Veterinary Medicine","ror":"https://ror.org/03vayv672","country_code":"HU","type":"education","lineage":["https://openalex.org/I4210136554"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Jen\u0151 Reiczigel","raw_affiliation_strings":["University of Veterinary Medicine Budapest, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Veterinary Medicine Budapest, Budapest, Hungary","institution_ids":["https://openalex.org/I4210136554"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048587657"],"corresponding_institution_ids":["https://openalex.org/I202391551","https://openalex.org/I4210155092"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":1.2958,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82268328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"1775","last_page":"1790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9993000030517578,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9993000030517578,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.996999979019165,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/mathematics","display_name":"Mathematics","score":0.7460452318191528},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.7193410396575928},{"id":"https://openalex.org/keywords/unimodality","display_name":"Unimodality","score":0.5034038424491882},{"id":"https://openalex.org/keywords/binomial","display_name":"Binomial (polynomial)","score":0.5012626647949219},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.48968055844306946},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.48633700609207153},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4851577877998352},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4772224724292755},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.452846884727478},{"id":"https://openalex.org/keywords/cdf-based-nonparametric-confidence-interval","display_name":"CDF-based nonparametric confidence interval","score":0.4302869141101837},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4164343774318695},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33636897802352905}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7460452318191528},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.7193410396575928},{"id":"https://openalex.org/C21596040","wikidata":"https://www.wikidata.org/wiki/Q2896771","display_name":"Unimodality","level":2,"score":0.5034038424491882},{"id":"https://openalex.org/C2781315470","wikidata":"https://www.wikidata.org/wiki/Q193623","display_name":"Binomial (polynomial)","level":2,"score":0.5012626647949219},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.48968055844306946},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.48633700609207153},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4851577877998352},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4772224724292755},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.452846884727478},{"id":"https://openalex.org/C42468098","wikidata":"https://www.wikidata.org/wiki/Q5009921","display_name":"CDF-based nonparametric confidence interval","level":3,"score":0.4302869141101837},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4164343774318695},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33636897802352905},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-020-00986-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-020-00986-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-020-00986-0.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:36:y:2021:i:3:d:10.1007_s00180-020-00986-0","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-020-00986-0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s00180-020-00986-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-020-00986-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-020-00986-0.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3084779477.pdf","grobid_xml":"https://content.openalex.org/works/W3084779477.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W102573545","https://openalex.org/W208723167","https://openalex.org/W567029146","https://openalex.org/W1964273112","https://openalex.org/W1965035464","https://openalex.org/W1982241416","https://openalex.org/W1983054882","https://openalex.org/W1989787171","https://openalex.org/W2037119684","https://openalex.org/W2058585360","https://openalex.org/W2062191353","https://openalex.org/W2075801079","https://openalex.org/W2081397749","https://openalex.org/W2106578604","https://openalex.org/W2137591261","https://openalex.org/W2144661279","https://openalex.org/W2162445884","https://openalex.org/W2171600077","https://openalex.org/W3211400184","https://openalex.org/W4300578193"],"related_works":["https://openalex.org/W3013789519","https://openalex.org/W2897631449","https://openalex.org/W2141428786","https://openalex.org/W1979451797","https://openalex.org/W1646349503","https://openalex.org/W1566467167","https://openalex.org/W1628104114","https://openalex.org/W2075099126","https://openalex.org/W3124784775","https://openalex.org/W1548873792"],"abstract_inverted_index":{"Abstract":[0],"Exact":[1],"two-tailed":[2],"tests":[3,46,86],"and":[4,47,94,97,105],"two-sided":[5],"confidence":[6,108],"intervals":[7],"(CIs)":[8],"for":[9,100],"a":[10,54,81],"binomial":[11],"proportion":[12],"or":[13,21],"Poisson":[14],"parameter":[15,55],"by":[16,59],"Sterne":[17],"(Biometrika":[18],"41:117\u2013129,":[19],"1954)":[20],"Blaker":[22],"(Can":[23],"J":[24],"Stat":[25],"28(4):783\u2013798,":[26],"2000)":[27],"are":[28,110],"successful":[29],"in":[30,65],"reducing":[31],"conservatism":[32],"of":[33,73,84,107],"the":[34,38,45,48,60,66,74,85,89,102],"Clopper\u2013Pearson":[35],"method.":[36],"However,":[37],"methods":[39],"suffer":[40],"from":[41,71],"an":[42],"inconsistency":[43],"between":[44],"corresponding":[49],"CIs:":[50],"In":[51],"some":[52],"cases,":[53],"value":[56,77],"is":[57],"rejected":[58],"test,":[61],"though":[62],"it":[63],"lies":[64],"CI.":[67],"The":[68],"problem":[69],"results":[70],"non-unimodality":[72],"test":[75,103],"p":[76],"functions.":[78],"We":[79],"propose":[80],"slight":[82],"modification":[83,104],"that":[87],"avoids":[88],"inconsistency,":[90],"while":[91],"preserving":[92],"nestedness":[93],"exactness.":[95],"Fast":[96],"accurate":[98],"algorithms":[99],"both":[101],"calculation":[106],"bounds":[109],"presented":[111],"together":[112],"with":[113],"their":[114],"theoretical":[115],"background.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}