{"id":"https://openalex.org/W2544269061","doi":"https://doi.org/10.1007/978-3-319-49046-5_48","title":"Confidence Intervals for Common Variance of Normal Distributions","display_name":"Confidence Intervals for Common Variance of Normal Distributions","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2544269061","doi":"https://doi.org/10.1007/978-3-319-49046-5_48","mag":"2544269061"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-49046-5_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-49046-5_48","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5013672337","display_name":"Narudee Smithpreecha","orcid":null},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Narudee Smithpreecha","raw_affiliation_strings":["Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, 10800, Thailand","Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, 10800, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030283463","display_name":"Sa\u2010Aat Niwitpong","orcid":"https://orcid.org/0000-0001-8269-3397"},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sa-Aat Niwitpong","raw_affiliation_strings":["Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, 10800, Thailand","Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, 10800, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013080807","display_name":"Suparat Niwitpong","orcid":"https://orcid.org/0000-0003-3059-1131"},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Suparat Niwitpong","raw_affiliation_strings":["Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, 10800, Thailand","Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, 10800, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013672337"],"corresponding_institution_ids":["https://openalex.org/I82828225"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18851636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"562","last_page":"573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.8870000243186951,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.8870000243186951,"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"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.8325999975204468,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.8040000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.8724848031997681},{"id":"https://openalex.org/keywords/robust-confidence-intervals","display_name":"Robust confidence intervals","score":0.8014130592346191},{"id":"https://openalex.org/keywords/cdf-based-nonparametric-confidence-interval","display_name":"CDF-based nonparametric confidence interval","score":0.7858225107192993},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6976265907287598},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.6324484348297119},{"id":"https://openalex.org/keywords/confidence-distribution","display_name":"Confidence distribution","score":0.622665286064148},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.587192952632904},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5607046484947205},{"id":"https://openalex.org/keywords/confidence-region","display_name":"Confidence region","score":0.5488673448562622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.500497579574585},{"id":"https://openalex.org/keywords/credible-interval","display_name":"Credible interval","score":0.4584715962409973},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4197278618812561},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31913214921951294}],"concepts":[{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.8724848031997681},{"id":"https://openalex.org/C66520545","wikidata":"https://www.wikidata.org/wiki/Q7353538","display_name":"Robust confidence intervals","level":3,"score":0.8014130592346191},{"id":"https://openalex.org/C42468098","wikidata":"https://www.wikidata.org/wiki/Q5009921","display_name":"CDF-based nonparametric confidence interval","level":3,"score":0.7858225107192993},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6976265907287598},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.6324484348297119},{"id":"https://openalex.org/C13662513","wikidata":"https://www.wikidata.org/wiki/Q5160087","display_name":"Confidence distribution","level":3,"score":0.622665286064148},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.587192952632904},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5607046484947205},{"id":"https://openalex.org/C143380155","wikidata":"https://www.wikidata.org/wiki/Q5160088","display_name":"Confidence region","level":3,"score":0.5488673448562622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.500497579574585},{"id":"https://openalex.org/C121117317","wikidata":"https://www.wikidata.org/wiki/Q4439221","display_name":"Credible interval","level":3,"score":0.4584715962409973},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4197278618812561},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31913214921951294},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-49046-5_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-49046-5_48","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1526871520","https://openalex.org/W1607202247","https://openalex.org/W1964217647","https://openalex.org/W1970377549","https://openalex.org/W1974623212","https://openalex.org/W1978693144","https://openalex.org/W2022913213","https://openalex.org/W2028223227","https://openalex.org/W2039586076","https://openalex.org/W2053497734","https://openalex.org/W2063415781","https://openalex.org/W2079851395","https://openalex.org/W2117814571","https://openalex.org/W2150721697","https://openalex.org/W4235618618"],"related_works":["https://openalex.org/W2162631808","https://openalex.org/W2160968851","https://openalex.org/W2183054518","https://openalex.org/W3187853220","https://openalex.org/W4221078923","https://openalex.org/W2076765275","https://openalex.org/W1501771833","https://openalex.org/W913292429","https://openalex.org/W2032077494","https://openalex.org/W2123327042"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}