{"id":"https://openalex.org/W2007941098","doi":"https://doi.org/10.1080/0161-119491882847","title":"ESTIMATING POPULATION FROM REPETITIONS IN ACCUMLATED RANDOM SAMPLES","display_name":"ESTIMATING POPULATION FROM REPETITIONS IN ACCUMLATED RANDOM SAMPLES","publication_year":1994,"publication_date":"1994-04-01","ids":{"openalex":"https://openalex.org/W2007941098","doi":"https://doi.org/10.1080/0161-119491882847","mag":"2007941098"},"language":"en","primary_location":{"id":"doi:10.1080/0161-119491882847","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0161-119491882847","pdf_url":null,"source":{"id":"https://openalex.org/S185196701","display_name":"Cryptologia","issn_l":"0161-1194","issn":["0161-1194","1558-1586"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cryptologia","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/A5076804039","display_name":"Terry Ritter","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Terry Ritter","raw_affiliation_strings":["\n                   \n                Ritter Software Engineering, 2609 Choctaw Trail, Austin TX 78745 USA. Email: ritter@cactus.org"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\n                   \n                Ritter Software Engineering, 2609 Choctaw Trail, Austin TX 78745 USA. Email: ritter@cactus.org","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5076804039"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12542781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"2","first_page":"155","last_page":"190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9822999835014343,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9822999835014343,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9818999767303467,"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"}},{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6773124933242798},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6006448268890381},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5808367133140564},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5781942009925842},{"id":"https://openalex.org/keywords/random-number-generation","display_name":"Random number generation","score":0.49405649304389954},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.46683207154273987},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4256639778614044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35426026582717896}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6773124933242798},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6006448268890381},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5808367133140564},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5781942009925842},{"id":"https://openalex.org/C201866948","wikidata":"https://www.wikidata.org/wiki/Q228206","display_name":"Random number generation","level":2,"score":0.49405649304389954},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.46683207154273987},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4256639778614044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35426026582717896},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0161-119491882847","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0161-119491882847","pdf_url":null,"source":{"id":"https://openalex.org/S185196701","display_name":"Cryptologia","issn_l":"0161-1194","issn":["0161-1194","1558-1586"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cryptologia","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":0,"referenced_works":[],"related_works":["https://openalex.org/W3148717199","https://openalex.org/W4382565725","https://openalex.org/W2946330045","https://openalex.org/W1488915263","https://openalex.org/W2077799587","https://openalex.org/W2905070931","https://openalex.org/W2916414482","https://openalex.org/W4200427489","https://openalex.org/W2116038428","https://openalex.org/W2147043760"],"abstract_inverted_index":{"Abstract":[0],"It":[1],"was":[2,44,76,116],"desired":[3],"to":[4,23,46,70,90,103,159],"estimate":[5,47,150],"the":[6,20,29,33,40,51,134,146,164,186,201],"number":[7,17,53,62,136,190,203],"of":[8,19,54,63,110,126,137,142,166,188,204],"unique":[9,105],"values":[10],"or":[11],"codes":[12,30],"produced":[13,31],"by":[14,32],"a":[15,60,73,124,140,143],"physically-random":[16,189],"generator":[18,34],"sort":[21],"used":[22],"form":[24],"cryptographic":[25],"message":[26],"keys;":[27],"only":[28],"were":[35,100],"available":[36],"for":[37,139,199],"analysis.":[38],"Subsequently,":[39],"classical":[41],"\u201cbirthday":[42],"paradox\u201d":[43],"reversed":[45,102,154,179],"statistical":[48,215],"population":[49,106,151,161],"from":[50,82,174],"average":[52],"repetitions":[55,111,138],"found":[56,77,120],"in":[57,68,97,112,185,206],"trials":[58,115,132],"containing":[59],"substantial":[61],"random":[64,223],"samples.":[65],"Although":[66],"similar":[67],"premise":[69],"previous":[71],"work,":[72],"new":[74,147],"relationship":[75],"which":[78,170],"includes":[79],"combinatorial":[80],"contributions":[81],"higher":[83],"repetition":[84],"levels.":[85],"The":[86,108],"resulting":[87],"equations":[88,148],"proved":[89],"be":[91,197],"simple,":[92],"intuitive,":[93],"exact,":[94],"and":[95,119],"novel":[96],"that":[98],"they":[99],"easily":[101],"produce":[104],"estimates.":[107],"distribution":[109,176],"different":[113],"size":[114],"investigated":[117],"experimentally":[118],"not":[121],"inconsistent":[122],"with":[123],"hypothesis":[125],"Poisson":[127],"distribution.":[128],"In":[129],"practice,":[130],"multiple":[131],"establish":[133],"mean":[135],"trial":[141],"given":[144],"size;":[145],"then":[149],"directly.":[152],"These":[153],"birthday":[155,180,193,220],"methods":[156,181,194],"are":[157],"able":[158],"detect":[160],"variations":[162,173],"despite":[163],"presence":[165],"inverse":[167],"probability":[168],"effects":[169],"can":[171],"hide":[172],"common":[175],"tests.":[177],"Thus,":[178],"could":[182,196],"prove":[183],"valuable":[184],"certification":[187,208],"generators.":[191],"Reversed":[192],"also":[195],"useful":[198],"estimating":[200],"effective":[202],"keys":[205],"cipher":[207],"tests,":[209],"as":[210,212],"well":[211],"more":[213],"general":[214],"applications.":[216],"Keywords:":[217],"Population":[218],"estimationreversed":[219],"methodsbirthday":[221],"paradoxphysically":[222],"generatorspopulation":[224],"deviation":[225],"testingaugmented":[226],"repetitionsaugmented":[227],"doublescryptographystatistics.":[228]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
