{"id":"https://openalex.org/W2085201310","doi":"https://doi.org/10.1016/j.jmva.2011.06.009","title":"Jackknife\u2013blockwise empirical likelihood methods under dependence","display_name":"Jackknife\u2013blockwise empirical likelihood methods under dependence","publication_year":2011,"publication_date":"2011-06-25","ids":{"openalex":"https://openalex.org/W2085201310","doi":"https://doi.org/10.1016/j.jmva.2011.06.009","mag":"2085201310"},"language":"en","primary_location":{"id":"doi:10.1016/j.jmva.2011.06.009","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.jmva.2011.06.009","pdf_url":null,"source":{"id":"https://openalex.org/S133905466","display_name":"Journal of Multivariate Analysis","issn_l":"0047-259X","issn":["0047-259X","1095-7243"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multivariate Analysis","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/A5074341245","display_name":"Rongmao Zhang","orcid":"https://orcid.org/0000-0002-3614-3818"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongmao Zhang","raw_affiliation_strings":["Department of Mathematics, Zhejiang University, Hanzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Zhejiang University, Hanzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035355100","display_name":"Liang Peng","orcid":"https://orcid.org/0000-0002-2088-1904"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Peng","raw_affiliation_strings":["School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332\u20130160, USA"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332\u20130160, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019013453","display_name":"Yongcheng Qi","orcid":"https://orcid.org/0000-0002-0761-9522"},"institutions":[{"id":"https://openalex.org/I4210115145","display_name":"University of Minnesota, Duluth","ror":"https://ror.org/01hy4qx27","country_code":"US","type":"education","lineage":["https://openalex.org/I4210115145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongcheng Qi","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Minnesota Duluth, 1117 University Drive, Duluth, MN, 55812, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Minnesota Duluth, 1117 University Drive, Duluth, MN, 55812, USA","institution_ids":["https://openalex.org/I4210115145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074341245"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":3060,"currency":"USD","value_usd":3060},"apc_paid":null,"fwci":0.546,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70082055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"104","issue":"1","first_page":"56","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9991000294685364,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9991000294685364,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9962000250816345,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9962000250816345,"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/jackknife-resampling","display_name":"Jackknife resampling","score":0.9602279663085938},{"id":"https://openalex.org/keywords/empirical-likelihood","display_name":"Empirical likelihood","score":0.9499219655990601},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7811503410339355},{"id":"https://openalex.org/keywords/estimating-equations","display_name":"Estimating equations","score":0.6064643263816833},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5477737784385681},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.49697616696357727},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.4957915246486664},{"id":"https://openalex.org/keywords/restricted-maximum-likelihood","display_name":"Restricted maximum likelihood","score":0.45752227306365967},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.45638659596443176},{"id":"https://openalex.org/keywords/score-test","display_name":"Score test","score":0.4238734543323517},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4225860834121704},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.4136744439601898},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.2562512159347534},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.06809139251708984}],"concepts":[{"id":"https://openalex.org/C81790035","wikidata":"https://www.wikidata.org/wiki/Q847158","display_name":"Jackknife resampling","level":3,"score":0.9602279663085938},{"id":"https://openalex.org/C2781117939","wikidata":"https://www.wikidata.org/wiki/Q5374245","display_name":"Empirical likelihood","level":3,"score":0.9499219655990601},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7811503410339355},{"id":"https://openalex.org/C204016326","wikidata":"https://www.wikidata.org/wiki/Q5401384","display_name":"Estimating equations","level":3,"score":0.6064643263816833},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5477737784385681},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.49697616696357727},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.4957915246486664},{"id":"https://openalex.org/C61420037","wikidata":"https://www.wikidata.org/wiki/Q7316301","display_name":"Restricted maximum likelihood","level":3,"score":0.45752227306365967},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.45638659596443176},{"id":"https://openalex.org/C103463560","wikidata":"https://www.wikidata.org/wiki/Q4456449","display_name":"Score test","level":3,"score":0.4238734543323517},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4225860834121704},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.4136744439601898},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.2562512159347534},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.06809139251708984}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.jmva.2011.06.009","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.jmva.2011.06.009","pdf_url":null,"source":{"id":"https://openalex.org/S133905466","display_name":"Journal of Multivariate Analysis","issn_l":"0047-259X","issn":["0047-259X","1095-7243"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multivariate Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G84742018","display_name":null,"funder_award_id":"10801118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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":23,"referenced_works":["https://openalex.org/W1523228994","https://openalex.org/W1968141767","https://openalex.org/W1974234363","https://openalex.org/W1979575715","https://openalex.org/W1994837085","https://openalex.org/W1999814123","https://openalex.org/W2014372855","https://openalex.org/W2021081240","https://openalex.org/W2025966367","https://openalex.org/W2053223987","https://openalex.org/W2060820907","https://openalex.org/W2062541416","https://openalex.org/W2064782073","https://openalex.org/W2084680378","https://openalex.org/W2116855184","https://openalex.org/W2127113402","https://openalex.org/W2184967751","https://openalex.org/W2797333853","https://openalex.org/W3098905965","https://openalex.org/W3122189751","https://openalex.org/W4300905261","https://openalex.org/W6678980742","https://openalex.org/W6686604442"],"related_works":["https://openalex.org/W2294933899","https://openalex.org/W2126013548","https://openalex.org/W1975288153","https://openalex.org/W2965709432","https://openalex.org/W2203011077","https://openalex.org/W2845770748","https://openalex.org/W1779117663","https://openalex.org/W2085201310","https://openalex.org/W2068394532","https://openalex.org/W3091989704"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}