{"id":"https://openalex.org/W7170085368","doi":"https://doi.org/10.1080/03610918.2026.2699961","title":"A new simple detection function for line transect sampling","display_name":"A new simple detection function for line transect sampling","publication_year":2026,"publication_date":"2026-07-22","ids":{"openalex":"https://openalex.org/W7170085368","doi":"https://doi.org/10.1080/03610918.2026.2699961"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2026.2699961","doi":"https://doi.org/10.1080/03610918.2026.2699961","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2026.2699961","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"volume":null,"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/A5143420516","display_name":"Midhat Edous","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I134359838","display_name":"Alfaisal University","ror":"https://ror.org/00cdrtq48","country_code":"SA","type":"education","lineage":["https://openalex.org/I134359838"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Midhat Edous","raw_affiliation_strings":["College of medicine, Alfaisal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of medicine, Alfaisal University","institution_ids":["https://openalex.org/I134359838"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5143420516"],"corresponding_institution_ids":["https://openalex.org/I134359838"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6049839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.8109999895095825,"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/T13546","display_name":"Census and Population Estimation","score":0.8109999895095825,"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/T10199","display_name":"Wildlife Ecology and Conservation","score":0.1273999959230423,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.006300000008195639,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/line-transect-sampling","display_name":"line transect survey","score":0.8889999985694885},{"id":"https://openalex.org/keywords/detection-function","display_name":"detection function","score":0.8930000066757202},{"id":"https://openalex.org/keywords/shoulder-disorders","display_name":"shoulder disorders","score":0.8849999904632568},{"id":"https://openalex.org/keywords/perpendicular-distance","display_name":"perpendicular distance","score":0.45399999618530273},{"id":"https://openalex.org/keywords/model-selection","display_name":"model selection","score":0.7739999890327454},{"id":"https://openalex.org/keywords/density-estimation","display_name":"density estimation","score":0.4950000047683716}],"concepts":[{"id":"https://openalex.org/C69661492","wikidata":"https://www.wikidata.org/wiki/Q1447141","display_name":"Transect","level":2,"score":0.6848999857902527},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.6478999853134155},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6144999861717224},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5843999981880188},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5568000078201294},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.522599995136261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5045999884605408},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49230000376701355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4690999984741211},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.44609999656677246},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.44339999556541443},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4196000099182129},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4142000079154968},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3921000063419342},{"id":"https://openalex.org/C99636146","wikidata":"https://www.wikidata.org/wiki/Q35889","display_name":"Parametric equation","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36340001225471497},{"id":"https://openalex.org/C2781050692","wikidata":"https://www.wikidata.org/wiki/Q5282869","display_name":"Distance sampling","level":3,"score":0.3474000096321106},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3336000144481659},{"id":"https://openalex.org/C199631012","wikidata":"https://www.wikidata.org/wiki/Q205034","display_name":"Perpendicular","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.3034000098705292},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.2797999978065491},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C39613435","wikidata":"https://www.wikidata.org/wiki/Q846677","display_name":"Remainder","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2026.2699961","doi":"https://doi.org/10.1080/03610918.2026.2699961","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2026.2699961","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.4307592809200287,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W192949036","https://openalex.org/W1976533516","https://openalex.org/W1978509140","https://openalex.org/W1981352763","https://openalex.org/W1983916349","https://openalex.org/W1987286864","https://openalex.org/W1988324298","https://openalex.org/W1994993754","https://openalex.org/W2007949170","https://openalex.org/W2012283129","https://openalex.org/W2019295909","https://openalex.org/W2025160317","https://openalex.org/W2033209263","https://openalex.org/W2043147817","https://openalex.org/W2130716523","https://openalex.org/W2131856931","https://openalex.org/W2156524460","https://openalex.org/W2160436206","https://openalex.org/W2312610983","https://openalex.org/W2321612195","https://openalex.org/W2323315177","https://openalex.org/W2325099535","https://openalex.org/W2329902271","https://openalex.org/W2409564355","https://openalex.org/W2467696357","https://openalex.org/W2526831551","https://openalex.org/W2557230827","https://openalex.org/W2559895038","https://openalex.org/W2742676127","https://openalex.org/W2804031150","https://openalex.org/W3122910356","https://openalex.org/W4322741376","https://openalex.org/W4388284247","https://openalex.org/W4391141142"],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,38,53],"new":[3],"parametric":[4],"detection":[5,87],"function":[6],"for":[7],"modeling":[8],"the":[9,27,31,33,45,59,67,75,81],"density":[10],"of":[11,56,83],"perpendicular":[12],"distances":[13],"in":[14,80],"line":[15],"transect":[16,46],"sampling.":[17],"The":[18],"proposed":[19,60,76],"model,":[20],"based":[21],"on":[22],"an":[23],"exponential":[24,35,69],"function,":[25],"satisfies":[26],"shoulder":[28],"condition":[29],"at":[30],"origin\u2014unlike":[32],"classical":[34,68],"model\u2014while":[36],"preserving":[37],"monotonic":[39],"decreasing":[40],"form":[41],"with":[42],"distance":[43],"from":[44],"line.":[47],"Simulation":[48],"studies":[49],"show":[50],"that":[51],"across":[52],"wide":[54],"range":[55],"target":[57],"densities,":[58],"model":[61,77,95],"performs":[62],"favorably,":[63],"often":[64],"surpassing":[65],"both":[66],"and":[70,89],"half-normal":[71],"models.":[72],"In":[73],"addition,":[74],"is":[78,98],"discussed":[79],"context":[82],"more":[84],"flexible":[85],"multi-parameter":[86],"functions,":[88],"its":[90],"practical":[91],"implementation":[92],"within":[93],"standard":[94],"selection":[96],"frameworks":[97],"highlighted.":[99]},"counts_by_year":[],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2026-07-23T00:00:00"}
