{"id":"https://openalex.org/W848798762","doi":"https://doi.org/10.1007/978-3-319-09333-8_72","title":"Log-Cumulant Parameter Estimator of Log-Normal Distribution","display_name":"Log-Cumulant Parameter Estimator of Log-Normal Distribution","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W848798762","doi":"https://doi.org/10.1007/978-3-319-09333-8_72","mag":"848798762"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-09333-8_72","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-09333-8_72","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/A5064560838","display_name":"Zengguo Sun","orcid":"https://orcid.org/0000-0003-0114-8173"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengguo Sun","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004062770","display_name":"Ji\u2010Xiang Du","orcid":"https://orcid.org/0000-0003-2386-770X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixiang Du","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119045251"],"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":0.0338809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"668","last_page":"674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9704999923706055,"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":0.9704999923706055,"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/T14456","display_name":"Blasting Impact and Analysis","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7657184600830078},{"id":"https://openalex.org/keywords/cumulant","display_name":"Cumulant","score":0.7097389101982117},{"id":"https://openalex.org/keywords/scale-parameter","display_name":"Scale parameter","score":0.6233049631118774},{"id":"https://openalex.org/keywords/trimmed-estimator","display_name":"Trimmed estimator","score":0.6112127304077148},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.585797131061554},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5649691820144653},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5520642995834351},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4814373850822449},{"id":"https://openalex.org/keywords/consistent-estimator","display_name":"Consistent estimator","score":0.43537724018096924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4233008921146393},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40972259640693665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3602865934371948},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.20522168278694153},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11561897397041321}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7657184600830078},{"id":"https://openalex.org/C172686274","wikidata":"https://www.wikidata.org/wiki/Q746007","display_name":"Cumulant","level":2,"score":0.7097389101982117},{"id":"https://openalex.org/C91716921","wikidata":"https://www.wikidata.org/wiki/Q1289366","display_name":"Scale parameter","level":2,"score":0.6233049631118774},{"id":"https://openalex.org/C41020250","wikidata":"https://www.wikidata.org/wiki/Q17144114","display_name":"Trimmed estimator","level":5,"score":0.6112127304077148},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.585797131061554},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5649691820144653},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5520642995834351},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4814373850822449},{"id":"https://openalex.org/C164172150","wikidata":"https://www.wikidata.org/wiki/Q1782585","display_name":"Consistent estimator","level":4,"score":0.43537724018096924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4233008921146393},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40972259640693665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3602865934371948},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.20522168278694153},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11561897397041321},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-09333-8_72","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-09333-8_72","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1520574663","https://openalex.org/W1538006934","https://openalex.org/W1600455797","https://openalex.org/W1602107991","https://openalex.org/W2076063977","https://openalex.org/W2096011446","https://openalex.org/W2117454350","https://openalex.org/W2144615653"],"related_works":["https://openalex.org/W2915452620","https://openalex.org/W4303449417","https://openalex.org/W2171822048","https://openalex.org/W1902166552","https://openalex.org/W2949338837","https://openalex.org/W2036696807","https://openalex.org/W4283265920","https://openalex.org/W3011081186","https://openalex.org/W2030060439","https://openalex.org/W2171924731"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
