{"id":"https://openalex.org/W2325488232","doi":"https://doi.org/10.1093/ee/16.2.345","title":"Sampling Plans in Insect Pest Management Based on Wald's Sequential Probability Ratio Test","display_name":"Sampling Plans in Insect Pest Management Based on Wald's Sequential Probability Ratio Test","publication_year":1987,"publication_date":"1987-04-01","ids":{"openalex":"https://openalex.org/W2325488232","doi":"https://doi.org/10.1093/ee/16.2.345","mag":"2325488232"},"language":"en","primary_location":{"id":"doi:10.1093/ee/16.2.345","doi":"https://doi.org/10.1093/ee/16.2.345","is_oa":false,"landing_page_url":"https://doi.org/10.1093/ee/16.2.345","pdf_url":null,"source":{"id":"https://openalex.org/S92562763","display_name":"Environmental Entomology","issn_l":"0046-225X","issn":["0046-225X","1938-2936"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","medline","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environmental Entomology","raw_type":"journal-article"},"volume":null,"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/A5089805436","display_name":"Gary W. Fowler","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary W. Fowler","raw_affiliation_strings":["School of Natural Resources, University of Michigan, Ann Arbor, Michigan 48109-1115"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Natural Resources, University of Michigan, Ann Arbor, Michigan 48109-1115","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081159476","display_name":"Ann M. Lynch","orcid":"https://orcid.org/0000-0002-8043-3855","observed_orcids":["https://orcid.org/0000-0002-8043-3855"]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ann M. Lynch","raw_affiliation_strings":["School of Natural Resources, University of Michigan, Ann Arbor, Michigan 48109-1115"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Natural Resources, University of Michigan, Ann Arbor, Michigan 48109-1115","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5081159476"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":{"value":4328,"currency":"USD","value_usd":4328},"apc_paid":null,"fwci":1.1829,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.84382284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"16","issue":"2","first_page":"345","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.7026000022888184,"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"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.7026000022888184,"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/T13500","display_name":"Probability and Statistical Research","score":0.08020000159740448,"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/T12043","display_name":"Insect behavior and control techniques","score":0.0364999994635582,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sequential-sampling-plans","display_name":"sequential sampling plans","score":0.6869999766349792},{"id":"https://openalex.org/keywords/wald-s-sequential-probability-ratio-test","display_name":"Wald's sequential probability ratio test","score":0.972000002861023},{"id":"https://openalex.org/keywords/insect-pest-management","display_name":"insect pest management","score":0.9279999732971191},{"id":"https://openalex.org/keywords/operating-characteristics","display_name":"operating characteristics","score":0.6349999904632568},{"id":"https://openalex.org/keywords/average-sample-number","display_name":"average sample number","score":0.9990000128746033},{"id":"https://openalex.org/keywords/stopping-boundaries","display_name":"stopping boundaries","score":0.7609999775886536},{"id":"https://openalex.org/keywords/negative-binomial-distribution","display_name":"negative binomial distribution","score":0.8500000238418579},{"id":"https://openalex.org/keywords/binomial-distribution","display_name":"binomial distribution","score":0.890999972820282},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.9670000076293945},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"normal distribution","score":0.9620000123977661},{"id":"https://openalex.org/keywords/error-probability","display_name":"error probability","score":0.38999998569488525}],"concepts":[{"id":"https://openalex.org/C34602496","wikidata":"https://www.wikidata.org/wiki/Q2271882","display_name":"Sequential probability ratio test","level":2,"score":0.8232397437095642},{"id":"https://openalex.org/C203274628","wikidata":"https://www.wikidata.org/wiki/Q748664","display_name":"Wald test","level":3,"score":0.7481449842453003},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7034478187561035},{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.6763915419578552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6081239581108093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5752995610237122},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5463566780090332},{"id":"https://openalex.org/C41054675","wikidata":"https://www.wikidata.org/wiki/Q185547","display_name":"Binomial distribution","level":2,"score":0.4508957862854004},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.408532977104187},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36337727308273315},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.27223801612854004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19046100974082947},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/ee/16.2.345","doi":"https://doi.org/10.1093/ee/16.2.345","is_oa":false,"landing_page_url":"https://doi.org/10.1093/ee/16.2.345","pdf_url":null,"source":{"id":"https://openalex.org/S92562763","display_name":"Environmental Entomology","issn_l":"0046-225X","issn":["0046-225X","1938-2936"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","medline","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environmental Entomology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2067424133","https://openalex.org/W2080180689","https://openalex.org/W1977766357","https://openalex.org/W929769615","https://openalex.org/W2325691112","https://openalex.org/W2592236442","https://openalex.org/W2334896623","https://openalex.org/W2010563725","https://openalex.org/W2070588350","https://openalex.org/W230768224"],"abstract_inverted_index":{"Equations":[0],"for":[1,24,95,110,187],"the":[2,25,46,57,70,86,92,102,112,125,138,150,167,176,182,188,193,201,204,215,222,226,239],"stopping":[3],"boundaries,":[4,48],"and":[5,9,30,40,49,60,90,119,143,152,180,225,230,234],"operating":[6],"characteristic":[7],"(OC)":[8],"average":[10],"sample":[11],"number":[12],"(ASN)":[13],"functions,":[14],"of":[15,35,69,155,203,214,241],"Wald's":[16,38,83,141,171,208,229],"sequential":[17],"probability":[18],"ratio":[19],"test":[20],"(SPRT)":[21],"are":[22,73,78,133,197,219],"presented":[23],"binomial,":[26,28],"negative":[27,103,168],"normal,":[29],"Poisson":[31],"distributions.":[32],"The":[33],"effects":[34],"errors":[36,50,139,205,217],"in":[37,140,173,207,210],"OC":[39,118,142,151,233],"ASN":[41,94,120,144,153,184,235],"equations":[42,84,209],"due":[43,51],"to":[44,52,80,115,124,136,148,200,212,237],"overshooting":[45],"decision":[47,71,113],"truncating,":[53],"postponing":[54],"decisions":[55],"beyond":[56],"first":[58],"stage,":[59],"taking":[61],"more":[62,186],"than":[63],"one":[64],"observation":[65],"at":[66],"each":[67],"stage":[68],"process":[72],"discussed.":[74],"Monte":[75,107,130,231],"Carlo":[76,108,131,232],"procedures":[77,132],"used":[79,135,147],"show":[81],"that":[82,218],"overestimate":[85,175],"true":[87,93,177,183],"error":[88,178],"probabilities":[89,179],"underestimate":[91,181],"a":[96,156,242],"two-decision":[97,194],"sampling":[98,159,223,243],"plan":[99,160],"based":[100,161],"on":[101,162],"binomial":[104,169],"distribution.":[105,170],"A":[106],"procedure":[109],"modifying":[111],"boundaries":[114],"yield":[116],"actual":[117],"functions":[121,145,154,236],"approximately":[122],"equal":[123],"desired":[126],"ones":[127],"is":[128],"presented.":[129],"also":[134],"examine":[137],"when":[146],"describe":[149,238],"composite":[157],"three-decision":[158,189],"two":[163],"single":[164],"SPRT's":[165],"using":[166],"equations,":[172],"general,":[174],"even":[185],"case":[190],"compared":[191],"with":[192,221],"case.":[195],"Recommendations":[196],"given":[198],"as":[199],"seriousness":[202],"inherent":[206],"relation":[211],"all":[213],"other":[216],"associated":[220],"process,":[224],"choice":[227],"between":[228],"properties":[240],"plan.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2016-06-24T00:00:00"}