{"id":"https://openalex.org/W2963452463","doi":"https://doi.org/10.1109/tit.2018.2803164","title":"Statistical Properties of Loss Rate Estimators in Tree Topology","display_name":"Statistical Properties of Loss Rate Estimators in Tree Topology","publication_year":2018,"publication_date":"2018-02-07","ids":{"openalex":"https://openalex.org/W2963452463","doi":"https://doi.org/10.1109/tit.2018.2803164","mag":"2963452463"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2018.2803164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2018.2803164","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},"type":"article","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/A5100696711","display_name":"Weiping Zhu","orcid":"https://orcid.org/0000-0002-6646-0793"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Weiping Zhu","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6646-0793","affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100696711"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.27794083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"64","issue":"5","first_page":"3883","last_page":"3893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11476","display_name":"Graph theory and applications","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"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/estimator","display_name":"Estimator","score":0.7398233413696289},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5816091895103455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49446630477905273},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48813924193382263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4582973122596741},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4344669282436371},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35842829942703247},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32973477244377136},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15537461638450623}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7398233413696289},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5816091895103455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49446630477905273},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48813924193382263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4582973122596741},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4344669282436371},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35842829942703247},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32973477244377136},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15537461638450623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2018.2803164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2018.2803164","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W185668311","https://openalex.org/W1965549889","https://openalex.org/W1973429371","https://openalex.org/W1979878707","https://openalex.org/W1981473217","https://openalex.org/W1986970796","https://openalex.org/W2002677656","https://openalex.org/W2011372615","https://openalex.org/W2044807855","https://openalex.org/W2045801760","https://openalex.org/W2077765414","https://openalex.org/W2082506361","https://openalex.org/W2093008045","https://openalex.org/W2114220616","https://openalex.org/W2126004592","https://openalex.org/W2130905185","https://openalex.org/W2135989390","https://openalex.org/W2162787146","https://openalex.org/W2163935672","https://openalex.org/W2166185229","https://openalex.org/W2219910205","https://openalex.org/W2552605897","https://openalex.org/W4213331114","https://openalex.org/W4238668657","https://openalex.org/W4238741986","https://openalex.org/W4254218257","https://openalex.org/W4362227092"],"related_works":["https://openalex.org/W1973573083","https://openalex.org/W2152704622","https://openalex.org/W1988224349","https://openalex.org/W2036654869","https://openalex.org/W1964781732","https://openalex.org/W2045590034","https://openalex.org/W1999189895","https://openalex.org/W2029156585","https://openalex.org/W1973897253","https://openalex.org/W2108833095"],"abstract_inverted_index":{"A":[0,146],"two-segment":[1],"model":[2,7],"is":[3,53,104,122],"introduced":[4],"here":[5],"to":[6,21,27,68,82,124,157],"the":[8,15,29,33,36,40,45,84,89,93,97,109,112,116,125,128,132,136,139,143,155,159,169,173,177,187,190],"probing":[9],"process":[10],"in":[11,179],"a":[12,76,102,120],"network":[13],"with":[14],"tree":[16,191],"topology":[17],"that":[18,58,100,168],"subsequently":[19],"leads":[20],"four":[22],"types":[23],"of":[24,32,39,51,78,88,96,111,119,127,131,138,142,148,161,165,181,189],"explicit":[25],"estimators":[26,41,65,170],"estimate":[28],"loss":[30],"rates":[31],"links":[34],"within":[35],"network.":[37],"All":[38],"are":[42,66,80,152,176],"derived":[43,81,153,171],"by":[44,92,135],"maximum":[46],"likelihood":[47],"principle,":[48],"where":[49],"one":[50],"them":[52,166],"developed":[54],"from":[55,154,172],"an":[56,162],"estimator":[57],"was":[59],"used":[60],"but":[61],"neglected":[62,174],"previously.":[63],"The":[64],"proved":[67],"be":[69],"either":[70],"unbiased":[71],"or":[72],"asymptotic":[73],"unbiased,":[74],"and":[75,86,150,183],"set":[77],"formulae":[79,98,156],"compute":[83],"efficiencies":[85],"variances":[87],"estimates":[90,113],"obtained":[91,114],"estimators.":[94],"One":[95,164],"shows":[99,167],"if":[101],"path":[103,133],"divided":[105,134],"into":[106],"two":[107],"segments,":[108],"variance":[110,126],"for":[115,186],"pass":[117,129,140],"rate":[118,130,141],"segment":[121],"equal":[123],"square":[137],"other":[144],"segment.":[145],"number":[147],"theorems":[149],"corollaries":[151],"evaluate":[158],"performance":[160],"estimator.":[163],"ones":[175],"best":[178],"terms":[180],"efficiency":[182],"computation":[184],"complexity":[185],"networks":[188],"topology.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}