{"id":"https://openalex.org/W7130858876","doi":"https://doi.org/10.1007/s11222-026-10845-5","title":"Superior location-scale estimation using moving extreme ranked set sampling design","display_name":"Superior location-scale estimation using moving extreme ranked set sampling design","publication_year":2026,"publication_date":"2026-02-21","ids":{"openalex":"https://openalex.org/W7130858876","doi":"https://doi.org/10.1007/s11222-026-10845-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-026-10845-5","doi":"https://doi.org/10.1007/s11222-026-10845-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-026-10845-5","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-d","doyens","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7130858876"],"child_works_count":0,"type":"article","is_traditional":true,"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/A5126558105","display_name":"Yanfei Dong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I144581915","display_name":"Jishou University","ror":"https://ror.org/056szk247","country_code":"CN","type":"education","lineage":["https://openalex.org/I144581915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Dong","raw_affiliation_strings":["Department of Mathematics and Statistics, Jishou University, Jishou, 416000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Jishou University, Jishou, 416000, China","institution_ids":["https://openalex.org/I144581915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063839540","display_name":"Wangxue Chen","orcid":"https://orcid.org/0000-0003-0958-7728","observed_orcids":["https://orcid.org/0000-0003-0958-7728","https://orcid.org/0000-0001-5900-4610"]},"institutions":[{"id":"https://openalex.org/I144581915","display_name":"Jishou University","ror":"https://ror.org/056szk247","country_code":"CN","type":"education","lineage":["https://openalex.org/I144581915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wangxue Chen","raw_affiliation_strings":["Department of Mathematics and Statistics, Jishou University, Jishou, 416000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Jishou University, Jishou, 416000, China","institution_ids":["https://openalex.org/I144581915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051205038","display_name":"A. M. Elsawah","orcid":"https://orcid.org/0000-0001-6116-4779","observed_orcids":["https://orcid.org/0000-0001-6116-4779"]},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I192398990","display_name":"Zagazig University","ror":"https://ror.org/053g6we49","country_code":"EG","type":"education","lineage":["https://openalex.org/I192398990"]}],"countries":["CN","EG"],"is_corresponding":false,"raw_author_name":"A. M. Elsawah","raw_affiliation_strings":["Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, 44519, Egypt","Department of Statistics and Data Science, Faculty of Science and Technology, Beijing Normal-Hong Kong Baptist University, Zhuhai, 519087, China","Guangdong Provincial/Zhuhai Key Laboratory of Interdisciplinary Research and Application for Data Science, BNBU, Zhuhai, 519087, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, 44519, Egypt","institution_ids":["https://openalex.org/I192398990"]},{"raw_affiliation_string":"Department of Statistics and Data Science, Faculty of Science and Technology, Beijing Normal-Hong Kong Baptist University, Zhuhai, 519087, China","institution_ids":["https://openalex.org/I12615008"]},{"raw_affiliation_string":"Guangdong Provincial/Zhuhai Key Laboratory of Interdisciplinary Research and Application for Data Science, BNBU, Zhuhai, 519087, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063839540"],"corresponding_institution_ids":["https://openalex.org/I144581915"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":9.872,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97807122,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"36","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.8134999871253967,"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.8134999871253967,"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":0.09780000150203705,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.041200000792741776,"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/best-linear-unbiased-estimator","display_name":"best linear unbiased estimator","score":0.9940000176429749},{"id":"https://openalex.org/keywords/small-sample-efficiency","display_name":"small-sample efficiency","score":0.6980000138282776},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"mean squared error","score":0.8230000138282776},{"id":"https://openalex.org/keywords/imperfect-ranking","display_name":"imperfect ranking","score":0.8510000109672546},{"id":"https://openalex.org/keywords/ecological-data","display_name":"ecological data","score":0.4020000100135803}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7537999749183655},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5827000141143799},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5382000207901001},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46000000834465027},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43540000915527344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42800000309944153},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C103545067","wikidata":"https://www.wikidata.org/wiki/Q796265","display_name":"Best linear unbiased prediction","level":3,"score":0.39340001344680786},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.390500009059906},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3522999882698059},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34139999747276306},{"id":"https://openalex.org/C17648541","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficiency","level":3,"score":0.33239999413490295},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3294000029563904},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C91716921","wikidata":"https://www.wikidata.org/wiki/Q1289366","display_name":"Scale parameter","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28130000829696655},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11222-026-10845-5","doi":"https://doi.org/10.1007/s11222-026-10845-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-026-10845-5","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-d","doyens","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2745475464","display_name":null,"funder_award_id":"12261036 and 11901236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1536759385","https://openalex.org/W1608375274","https://openalex.org/W1780692026","https://openalex.org/W1968701112","https://openalex.org/W1986049907","https://openalex.org/W2008408176","https://openalex.org/W2016125952","https://openalex.org/W2022583999","https://openalex.org/W2023965043","https://openalex.org/W2040644083","https://openalex.org/W2047955314","https://openalex.org/W2064292611","https://openalex.org/W2148527884","https://openalex.org/W2323541946","https://openalex.org/W2509731655","https://openalex.org/W2527257983","https://openalex.org/W2616355271","https://openalex.org/W2619296348","https://openalex.org/W2734779705","https://openalex.org/W2883616868","https://openalex.org/W2912688645","https://openalex.org/W2990409856","https://openalex.org/W3004700962","https://openalex.org/W3016023240","https://openalex.org/W3033296693","https://openalex.org/W3121117712","https://openalex.org/W3139250780","https://openalex.org/W4205518671","https://openalex.org/W4366401181","https://openalex.org/W4403157592","https://openalex.org/W4404659749","https://openalex.org/W4406826748","https://openalex.org/W4413890563"],"related_works":["https://openalex.org/W4366401181","https://openalex.org/W3121117712","https://openalex.org/W2064292611","https://openalex.org/W4409352735","https://openalex.org/W2040644083","https://openalex.org/W2733622434","https://openalex.org/W2099210520","https://openalex.org/W3177175209","https://openalex.org/W2047955314","https://openalex.org/W2969270032"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-02-22T00:00:00"}
