{"id":"https://openalex.org/W2006533623","doi":"https://doi.org/10.1007/bf00162526","title":"Control variates and importance sampling for efficient bootstrap simulations","display_name":"Control variates and importance sampling for efficient bootstrap simulations","publication_year":1996,"publication_date":"1996-06-01","ids":{"openalex":"https://openalex.org/W2006533623","doi":"https://doi.org/10.1007/bf00162526","mag":"2006533623"},"language":"en","primary_location":{"id":"doi:10.1007/bf00162526","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bf00162526","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,"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"},"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/A5111405969","display_name":"Tim Hesterberg","orcid":null},"institutions":[{"id":"https://openalex.org/I173146385","display_name":"Franklin & Marshall College","ror":"https://ror.org/04fp4ps48","country_code":"US","type":"education","lineage":["https://openalex.org/I173146385"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tim Hesterberg","raw_affiliation_strings":["Mathematics Department, Franklin & Marshall College, 17604-3003, Lancaster, PA, USA","Mathematics Department, Franklin & Marshall College, Lancaster, USA"],"affiliations":[{"raw_affiliation_string":"Mathematics Department, Franklin & Marshall College, 17604-3003, Lancaster, PA, USA","institution_ids":["https://openalex.org/I173146385"]},{"raw_affiliation_string":"Mathematics Department, Franklin & Marshall College, Lancaster, USA","institution_ids":["https://openalex.org/I173146385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5111405969"],"corresponding_institution_ids":["https://openalex.org/I173146385"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":1.4125,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.81301394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":"2","first_page":"147","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9945999979972839,"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":0.9945999979972839,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.983299970626831,"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/control-variates","display_name":"Control variates","score":0.870851993560791},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.8403443098068237},{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.7429252862930298},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6430633664131165},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.623722493648529},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6152486205101013},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5894701480865479},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5467376708984375},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5225750207901001},{"id":"https://openalex.org/keywords/sampling-design","display_name":"Sampling design","score":0.46327921748161316},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.43202924728393555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.28922152519226074},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.1534990668296814},{"id":"https://openalex.org/keywords/hybrid-monte-carlo","display_name":"Hybrid Monte Carlo","score":0.08739033341407776}],"concepts":[{"id":"https://openalex.org/C121683094","wikidata":"https://www.wikidata.org/wiki/Q3554721","display_name":"Control variates","level":5,"score":0.870851993560791},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.8403443098068237},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.7429252862930298},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6430633664131165},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.623722493648529},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6152486205101013},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5894701480865479},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5467376708984375},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5225750207901001},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.46327921748161316},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.43202924728393555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28922152519226074},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.1534990668296814},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.08739033341407776},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/bf00162526","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bf00162526","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,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W120184175","https://openalex.org/W1968829448","https://openalex.org/W1976982871","https://openalex.org/W1988817378","https://openalex.org/W1995945562","https://openalex.org/W1998051418","https://openalex.org/W1999152918","https://openalex.org/W2002434088","https://openalex.org/W2005125330","https://openalex.org/W2014208555","https://openalex.org/W2022891205","https://openalex.org/W2025191512","https://openalex.org/W2030748132","https://openalex.org/W2031455838","https://openalex.org/W2032175896","https://openalex.org/W2033262566","https://openalex.org/W2050948537","https://openalex.org/W2054366209","https://openalex.org/W2054536379","https://openalex.org/W2066208164","https://openalex.org/W2068765483","https://openalex.org/W2089181240","https://openalex.org/W2094509095","https://openalex.org/W2124181495","https://openalex.org/W2126728600","https://openalex.org/W2153027849","https://openalex.org/W2314297038","https://openalex.org/W2367144581","https://openalex.org/W2485818503","https://openalex.org/W2797291332","https://openalex.org/W3022598036","https://openalex.org/W3026721701","https://openalex.org/W3106889297","https://openalex.org/W4206038828","https://openalex.org/W4229926969","https://openalex.org/W4246497843","https://openalex.org/W4296041488"],"related_works":["https://openalex.org/W4287392940","https://openalex.org/W3121013341","https://openalex.org/W2808706851","https://openalex.org/W65440759","https://openalex.org/W1988863536","https://openalex.org/W2905302290","https://openalex.org/W4233299515","https://openalex.org/W4232943939","https://openalex.org/W3037940354","https://openalex.org/W2113115437"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
