{"id":"https://openalex.org/W2901026103","doi":"https://doi.org/10.1007/978-3-030-04263-9_28","title":"Confidence Intervals for Difference Between Means and Ratio of Means of Weibull Distribution","display_name":"Confidence Intervals for Difference Between Means and Ratio of Means of Weibull Distribution","publication_year":2018,"publication_date":"2018-11-24","ids":{"openalex":"https://openalex.org/W2901026103","doi":"https://doi.org/10.1007/978-3-030-04263-9_28","mag":"2901026103"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-04263-9_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-04263-9_28","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","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/A5003844600","display_name":"Manussaya La-ongkaew","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":"Manussaya La-ongkaew","raw_affiliation_strings":["Faculty of Applied Science, Department of Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, Thailand","Faculty of Applied Science, Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Applied Science, Department of Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"Faculty of Applied Science, Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038262213","display_name":"Sa-Aat Niwitpong","orcid":"https://orcid.org/0000-0001-9633-6892"},"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":["Faculty of Applied Science, Department of Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, Thailand","Faculty of Applied Science, Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Applied Science, Department of Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"Faculty of Applied Science, Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, 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":["Faculty of Applied Science, Department of Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, Thailand","Faculty of Applied Science, Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Applied Science, Department of Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"Faculty of Applied Science, Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003844600"],"corresponding_institution_ids":["https://openalex.org/I82828225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.1991404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"364","last_page":"377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9939000010490417,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9939000010490417,"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":0.9842000007629395,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9757000207901001,"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":0.8866424560546875},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.7633023262023926},{"id":"https://openalex.org/keywords/cdf-based-nonparametric-confidence-interval","display_name":"CDF-based nonparametric confidence interval","score":0.7383263111114502},{"id":"https://openalex.org/keywords/confidence-distribution","display_name":"Confidence distribution","score":0.7050648331642151},{"id":"https://openalex.org/keywords/robust-confidence-intervals","display_name":"Robust confidence intervals","score":0.6252521872520447},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.6249220967292786},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.6236844658851624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6131410598754883},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5302296280860901},{"id":"https://openalex.org/keywords/confidence-region","display_name":"Confidence region","score":0.5046745538711548},{"id":"https://openalex.org/keywords/tolerance-interval","display_name":"Tolerance interval","score":0.47682255506515503},{"id":"https://openalex.org/keywords/binomial-proportion-confidence-interval","display_name":"Binomial proportion confidence interval","score":0.4720916152000427},{"id":"https://openalex.org/keywords/credible-interval","display_name":"Credible interval","score":0.45468640327453613}],"concepts":[{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.8866424560546875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7633023262023926},{"id":"https://openalex.org/C42468098","wikidata":"https://www.wikidata.org/wiki/Q5009921","display_name":"CDF-based nonparametric confidence interval","level":3,"score":0.7383263111114502},{"id":"https://openalex.org/C13662513","wikidata":"https://www.wikidata.org/wiki/Q5160087","display_name":"Confidence distribution","level":3,"score":0.7050648331642151},{"id":"https://openalex.org/C66520545","wikidata":"https://www.wikidata.org/wiki/Q7353538","display_name":"Robust confidence intervals","level":3,"score":0.6252521872520447},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.6249220967292786},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.6236844658851624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6131410598754883},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5302296280860901},{"id":"https://openalex.org/C143380155","wikidata":"https://www.wikidata.org/wiki/Q5160088","display_name":"Confidence region","level":3,"score":0.5046745538711548},{"id":"https://openalex.org/C10590107","wikidata":"https://www.wikidata.org/wiki/Q7814221","display_name":"Tolerance interval","level":3,"score":0.47682255506515503},{"id":"https://openalex.org/C18823086","wikidata":"https://www.wikidata.org/wiki/Q1781424","display_name":"Binomial proportion confidence interval","level":4,"score":0.4720916152000427},{"id":"https://openalex.org/C121117317","wikidata":"https://www.wikidata.org/wiki/Q4439221","display_name":"Credible interval","level":3,"score":0.45468640327453613},{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.0},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-04263-9_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-04263-9_28","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1970901130","https://openalex.org/W1995673551","https://openalex.org/W2005466014","https://openalex.org/W2012382754","https://openalex.org/W2019044051","https://openalex.org/W2045197273","https://openalex.org/W2047313069","https://openalex.org/W2048988354","https://openalex.org/W2061303007","https://openalex.org/W2063963055","https://openalex.org/W2078593836","https://openalex.org/W2080015798","https://openalex.org/W2082465891","https://openalex.org/W2084872827","https://openalex.org/W2109533003","https://openalex.org/W2112082363","https://openalex.org/W2123033778","https://openalex.org/W2137611809","https://openalex.org/W2150721697","https://openalex.org/W2157621532","https://openalex.org/W2509962051","https://openalex.org/W2514577445","https://openalex.org/W2560269846","https://openalex.org/W2592512316","https://openalex.org/W2740351177","https://openalex.org/W2983405503","https://openalex.org/W4235618618","https://openalex.org/W4238284345","https://openalex.org/W6608807985"],"related_works":["https://openalex.org/W2162631808","https://openalex.org/W2076765275","https://openalex.org/W2160968851","https://openalex.org/W4247792573","https://openalex.org/W3160492036","https://openalex.org/W2557082356","https://openalex.org/W2089159416","https://openalex.org/W2032077494","https://openalex.org/W2030164288","https://openalex.org/W847851028"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
