{"id":{"repo_id":"gsu","oai_identifier":"oai:digitalcommons.georgiasouthern.edu:etd-1655"},"canonical_url":"https://search.dev.ndltd.org/etd/gsu/oai:digitalcommons.georgiasouthern.edu:etd-1655","repository":{"repo_id":"gsu","name":"Georgia Southern University","base_url":"https://digitalcommons.georgiasouthern.edu/do/oai/"},"display":{"title":"Bias in Closed Population Capture-Recapture","abstract":"Our primary question was the effect of departures from assumptions on population estimates obtained using three maximum likelihood population size estimators: M0 (all individuals have the same capture probability on all occasions), Mb (behavior is affected by prior capture) and Mt (all individuals have the same capture probability that varies by occasion). After examining the initial results and observing substantial negative bias (underestimates), we attempted to model the bias for M0 and Mb capture scenarios as these situations had consistent patterns. The Mt scenario with its erratic behaviors was not modeled. We noted that M0 and Mt performed equally well for the M0 and Mb captures. Mb did better as an estimator for the Mb capture scenario than for the M0 scenario. The Mt estimator for Mt captures did not perform well. Depending on actual capture probabilities, either of the other two estimators may give better, less biased results.","abstract_html":"Our primary question was the effect of departures from assumptions on population estimates obtained using three maximum likelihood population size estimators: M0 (all individuals have the same capture probability on all occasions), Mb (behavior is affected by prior capture) and Mt (all individuals have the same capture probability that varies by occasion). After examining the initial results and observing substantial negative bias (underestimates), we attempted to model the bias for M0 and Mb capture scenarios as these situations had consistent patterns. The Mt scenario with its erratic behaviors was not modeled. We noted that M0 and Mt performed equally well for the M0 and Mb captures. Mb did better as an estimator for the Mb capture scenario than for the M0 scenario. The Mt estimator for Mt captures did not perform well. Depending on actual capture probabilities, either of the other two estimators may give better, less biased results.","abstract_has_math":false,"creators":["Lynn, Candace M."],"institution":null,"degree_name":"Master of Science in Mathematics (M.S.)","degree_level":"Thesis (open access)","degree_discipline":"Department of Mathematical Sciences","degree_department":null,"school":null,"contributors":["Anna Oganyan","Charles Champ"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009-12-01T08:00:00Z","date_published":"2009-12-01T08:00:00Z","updated_at":"2026-07-24T02:27:19Z","subjects":["ETD","Statistical simulation","Capture-recapture","Maximum likelihood","Closed population","Bias modeling","Animal populations"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.georgiasouthern.edu/etd/655","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Anna Oganyan","Charles Champ"]},{"key":"dc:creator","label":"Author","values":["Lynn, Candace M."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2013-10-17T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Department of Mathematical Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis (open access)"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Mathematics (M.S.)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["ETD","Statistical simulation","Capture-recapture","Maximum likelihood","Closed population","Bias modeling","Animal populations"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.georgiasouthern.edu/etd/655"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Our primary question was the effect of departures from assumptions on population estimates obtained using three maximum likelihood population size estimators: M0 (all individuals have the same capture probability on all occasions), Mb (behavior is affected by prior capture) and Mt (all individuals have the same capture probability that varies by occasion). After examining the initial results and observing substantial negative bias (underestimates), we attempted to model the bias for M0 and Mb capture scenarios as these situations had consistent patterns. The Mt scenario with its erratic behaviors was not modeled. We noted that M0 and Mt performed equally well for the M0 and Mb captures. Mb did better as an estimator for the Mb capture scenario than for the M0 scenario. The Mt estimator for Mt captures did not perform well. Depending on actual capture probabilities, either of the other two estimators may give better, less biased results."]},{"key":"dc:title","label":"Title","values":["Bias in Closed Population Capture-Recapture"]}]}],"canonical_facts":{"dc:contributor":["Anna Oganyan","Charles Champ"],"dc:creator":["Lynn, Candace M."],"dc:date.available":["2013-10-17T07:00:00Z"],"dc:description.abstract":["Our primary question was the effect of departures from assumptions on population estimates obtained using three maximum likelihood population size estimators: M0 (all individuals have the same capture probability on all occasions), Mb (behavior is affected by prior capture) and Mt (all individuals have the same capture probability that varies by occasion). After examining the initial results and observing substantial negative bias (underestimates), we attempted to model the bias for M0 and Mb capture scenarios as these situations had consistent patterns. The Mt scenario with its erratic behaviors was not modeled. We noted that M0 and Mt performed equally well for the M0 and Mb captures. Mb did better as an estimator for the Mb capture scenario than for the M0 scenario. The Mt estimator for Mt captures did not perform well. Depending on actual capture probabilities, either of the other two estimators may give better, less biased results."],"dc:identifier":["https://digitalcommons.georgiasouthern.edu/etd/655"],"dc:subject":["ETD","Statistical simulation","Capture-recapture","Maximum likelihood","Closed population","Bias modeling","Animal populations"],"dc:title":["Bias in Closed Population Capture-Recapture"],"thesis:degree_discipline":["Department of Mathematical Sciences"],"thesis:degree_level":["Thesis (open access)"],"thesis:degree_name":["Master of Science in Mathematics (M.S.)"]},"updated_at":"2026-07-24T02:27:19Z"}