{"id":"https://openalex.org/W4225014118","doi":"https://doi.org/10.1080/03610918.2022.2067871","title":"Curve fitting: a method of joining piecewise functions to produce models of complex data","display_name":"Curve fitting: a method of joining piecewise functions to produce models of complex data","publication_year":2022,"publication_date":"2022-04-28","ids":{"openalex":"https://openalex.org/W4225014118","doi":"https://doi.org/10.1080/03610918.2022.2067871"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2067871","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2067871","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,"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":"Communications in Statistics - Simulation and Computation","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/A5060250150","display_name":"Stefan T. Orszulik","orcid":"https://orcid.org/0000-0003-3176-4911"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Stefan T. Orszulik","raw_affiliation_strings":["The Kestrels, Grove, Wantage, Oxfordshire, UK"],"raw_orcid":"https://orcid.org/0000-0003-3176-4911","affiliations":[{"raw_affiliation_string":"The Kestrels, Grove, Wantage, Oxfordshire, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5060250150"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4096,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86397749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"53","issue":"4","first_page":"2071","last_page":"2077"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11880","display_name":"Forest ecology and management","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.8710148334503174},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7296960353851318},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.6349048614501953},{"id":"https://openalex.org/keywords/knot","display_name":"Knot (papermaking)","score":0.6335729956626892},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.616695761680603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5497350096702576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5407466888427734},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5161384344100952},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.42131489515304565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3955732583999634},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3413824439048767},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3200191259384155},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13692611455917358},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09549584984779358},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0668172538280487}],"concepts":[{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.8710148334503174},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7296960353851318},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.6349048614501953},{"id":"https://openalex.org/C2779863119","wikidata":"https://www.wikidata.org/wiki/Q6423048","display_name":"Knot (papermaking)","level":2,"score":0.6335729956626892},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.616695761680603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5497350096702576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5407466888427734},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5161384344100952},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.42131489515304565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3955732583999634},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3413824439048767},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3200191259384155},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13692611455917358},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09549584984779358},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0668172538280487},{"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/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2067871","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2067871","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,"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":"Communications in Statistics - Simulation and Computation","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":3,"referenced_works":["https://openalex.org/W1647643282","https://openalex.org/W2739957063","https://openalex.org/W2899302413"],"related_works":["https://openalex.org/W2913290143","https://openalex.org/W2133947431","https://openalex.org/W2490196280","https://openalex.org/W3182827720","https://openalex.org/W1596838019","https://openalex.org/W2044660300","https://openalex.org/W3208509670","https://openalex.org/W2360632593","https://openalex.org/W2109304297","https://openalex.org/W2100864966"],"abstract_inverted_index":{"This":[0],"article":[1],"describes":[2,39],"a":[3,29,86],"method":[4,136],"of":[5,72,79,121,128],"curve-fitting":[6],"that":[7,37,62,134],"involves":[8],"splitting":[9],"the":[10,40,57,69,73,77,96,99,102,107,116,119,135],"curve":[11,75],"into":[12],"two":[13,59],"(or":[14],"more)":[15],"and":[16,139],"creating":[17],"separate":[18],"functions":[19,24,60,129],"for":[20],"each":[21,65],"part.":[22],"These":[23],"are":[25,64],"then":[26],"concatenated":[27,132],"via":[28],"linking":[30,48],"function":[31,36,49,88],"to":[32,52,94,113,142],"create":[33],"one":[34],"overall":[35,74],"better":[38],"original":[41,58],"data":[42],"than":[43],"is":[44,50,85,92,123,137],"otherwise":[45],"achievable.":[46],"The":[47,82],"able":[51],"do":[53,110],"this":[54],"by":[55],"separating":[56],"so":[61,133],"they":[63],"active":[66],"in":[67,89],"only":[68],"relevant":[70],"portion":[71],"without":[76],"use":[78],"dummy":[80],"variables.":[81],"final":[83],"result":[84],"continuous":[87],"which":[90],"it":[91],"straightforward":[93],"smooth":[95],"transition":[97],"at":[98,115],"knot":[100,117],"between":[101],"piecewise":[103,108],"subfunctions.":[104],"In":[105],"addition,":[106],"subfunctions":[109],"not":[111],"need":[112],"align":[114],"since":[118],"degree":[120],"smoothing":[122],"readily":[124],"controlled.":[125],"All":[126],"types":[127],"may":[130],"be":[131],"flexible":[138],"relatively":[140],"simple":[141],"apply.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}