{"id":"https://openalex.org/W3211909283","doi":"https://doi.org/10.1088/1755-1315/880/1/012046","title":"Mixed estimator of spline truncated, Fourier series, and kernel in biresponse semiparametric regression model","display_name":"Mixed estimator of spline truncated, Fourier series, and kernel in biresponse semiparametric regression model","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3211909283","doi":"https://doi.org/10.1088/1755-1315/880/1/012046","mag":"3211909283"},"language":"en","primary_location":{"id":"doi:10.1088/1755-1315/880/1/012046","doi":"https://doi.org/10.1088/1755-1315/880/1/012046","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1755-1315/880/1/012046","pdf_url":"https://iopscience.iop.org/article/10.1088/1755-1315/880/1/012046/pdf","source":{"id":"https://openalex.org/S4210195883","display_name":"IOP Conference Series Earth and Environmental Science","issn_l":"1755-1315","issn":["1755-1315","1755-1307"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IOP Conference Series: Earth and Environmental Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://iopscience.iop.org/article/10.1088/1755-1315/880/1/012046/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081369763","display_name":"Hartina Husain","orcid":"https://orcid.org/0009-0008-2590-8425","observed_orcids":["https://orcid.org/0009-0008-2590-8425"]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hartina Husain","raw_affiliation_strings":["Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh November, 60111 Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh November, 60111 Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012999018","display_name":"I Nyoman Budiantara","orcid":"https://orcid.org/0000-0001-6572-4083","observed_orcids":["https://orcid.org/0000-0001-6572-4083"]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"I N Budiantara","raw_affiliation_strings":["Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh November, 60111 Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh November, 60111 Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041148034","display_name":"Ismaini Zain","orcid":"https://orcid.org/0000-0002-3716-3669","observed_orcids":["https://orcid.org/0000-0002-3716-3669"]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ismaini Zain","raw_affiliation_strings":["Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh November, 60111 Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh November, 60111 Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012999018"],"corresponding_institution_ids":["https://openalex.org/I166843116"],"apc_list":null,"apc_paid":null,"fwci":1.687,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82753825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"880","issue":"1","first_page":"012046","last_page":"012046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.6952999830245972,"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/T13141","display_name":"Statistical Methods and Applications","score":0.6952999830245972,"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/T10136","display_name":"Statistical Methods and Inference","score":0.13979999721050262,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.1168999969959259,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mixed-estimator","display_name":"mixed estimator","score":0.6359999775886536},{"id":"https://openalex.org/keywords/truncated-spline","display_name":"truncated spline","score":0.8640000224113464},{"id":"https://openalex.org/keywords/fourier-series-estimator","display_name":"Fourier series estimator","score":0.7749999761581421},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"kernel density estimation","score":0.9639999866485596},{"id":"https://openalex.org/keywords/correlated-response-variables","display_name":"correlated response variables","score":0.8019999861717224},{"id":"https://openalex.org/keywords/weighted-least-squares","display_name":"weighted least squares","score":0.9169999957084656},{"id":"https://openalex.org/keywords/knot-point-selection","display_name":"knot point selection","score":0.847000002861023},{"id":"https://openalex.org/keywords/optimal-bandwidth","display_name":"optimal bandwidth","score":0.8429999947547913},{"id":"https://openalex.org/keywords/generalized-cross-validation","display_name":"generalized cross-validation","score":0.9829999804496765}],"concepts":[{"id":"https://openalex.org/C19539793","wikidata":"https://www.wikidata.org/wiki/Q7449609","display_name":"Semiparametric regression","level":3,"score":0.7839642763137817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6685925126075745},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5911254286766052},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.5866710543632507},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.5753936767578125},{"id":"https://openalex.org/C78297888","wikidata":"https://www.wikidata.org/wiki/Q7449607","display_name":"Semiparametric model","level":3,"score":0.5231220126152039},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.5206314921379089},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5187559127807617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4673474431037903},{"id":"https://openalex.org/C107457265","wikidata":"https://www.wikidata.org/wiki/Q7546460","display_name":"Smoothing spline","level":4,"score":0.46310681104660034},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.45729267597198486},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.4513676166534424},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.44038230180740356},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43848085403442383},{"id":"https://openalex.org/C27406209","wikidata":"https://www.wikidata.org/wiki/Q6394203","display_name":"Kernel smoother","level":5,"score":0.4101654887199402},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3982956111431122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23794233798980713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16039738059043884},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.13824236392974854},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1012164056301117},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.09353458881378174},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06395906209945679},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1755-1315/880/1/012046","doi":"https://doi.org/10.1088/1755-1315/880/1/012046","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1755-1315/880/1/012046","pdf_url":"https://iopscience.iop.org/article/10.1088/1755-1315/880/1/012046/pdf","source":{"id":"https://openalex.org/S4210195883","display_name":"IOP Conference Series Earth and Environmental Science","issn_l":"1755-1315","issn":["1755-1315","1755-1307"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IOP Conference Series: Earth and Environmental Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/1755-1315/880/1/012046","doi":"https://doi.org/10.1088/1755-1315/880/1/012046","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1755-1315/880/1/012046","pdf_url":"https://iopscience.iop.org/article/10.1088/1755-1315/880/1/012046/pdf","source":{"id":"https://openalex.org/S4210195883","display_name":"IOP Conference Series Earth and Environmental Science","issn_l":"1755-1315","issn":["1755-1315","1755-1307"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IOP Conference Series: Earth and Environmental Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327937","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89"},{"id":"https://openalex.org/F4320328515","display_name":"Lembaga Pengelola Dana Pendidikan","ror":"https://ror.org/05p2xef58"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211909283.pdf","grobid_xml":"https://content.openalex.org/works/W3211909283.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1988902278","https://openalex.org/W2024658605","https://openalex.org/W2040521104","https://openalex.org/W2310233051","https://openalex.org/W2518746725","https://openalex.org/W2587338823","https://openalex.org/W2808331221","https://openalex.org/W3006893517","https://openalex.org/W3010149268","https://openalex.org/W3037655785","https://openalex.org/W3136892137"],"related_works":["https://openalex.org/W4412020131","https://openalex.org/W7217926248","https://openalex.org/W3033612843","https://openalex.org/W4318384530","https://openalex.org/W4391806931","https://openalex.org/W4318384573","https://openalex.org/W4387351484","https://openalex.org/W3136892137","https://openalex.org/W4288048009","https://openalex.org/W3035910064"],"abstract_inverted_index":{"Abstract":[0],"Regression":[1],"analysis":[2,7],"is":[3,37,83,95,116,130,146,159,220],"a":[4,38,43,98,167],"method":[5],"of":[6,100,122,124,183,209],"to":[8,85,118,137,153,173],"determine":[9],"the":[10,13,16,27,80,89,92,110,120,133,143,149,157,162,178,189,192,196,207,223],"relationship":[11],"between":[12,46],"response":[14,53],"and":[15,30,48,109,156,188,214],"predictor":[17,65],"variables.":[18],"There":[19],"are":[20,55],"three":[21,101],"approaches":[22,70],"in":[23],"regression":[24,35,39,181],"analysis,":[25],"namely":[26],"parametric,":[28],"nonparametric,":[29],"semiparametric":[31,180],"approaches.":[32],"Biresponse":[33],"Semiparametric":[34],"model":[36,40,182,204,219],"that":[41],"uses":[42],"combination":[44],"approach":[45],"parametric":[47,81],"nonparametric":[49,93],"components,":[50],"where":[51],"two":[52],"variables":[54],"correlated":[56],"with":[57,63],"each":[58,75,123],"other.":[59],"For":[60],"data":[61,114,134,150,163,194],"cases":[62],"several":[64],"variables,":[66],"different":[67],"estimation":[68,102,126],"technique":[69],"can":[71],"be":[72,86],"used":[73,131,147,160],"for":[74,177],"variable.":[76],"In":[77],"this":[78],"study,":[79],"component":[82],"assumed":[84,117],"linear.":[87],"At":[88],"same":[90],"time,":[91],"part":[94],"approached":[96],"using":[97,195],"mixture":[99],"techniques,":[103],"namely,":[104],"spline":[105,129,184],"truncated,":[106,185],"Fourier":[107,144,186],"series,":[108,187],"kernel.":[111],"The":[112,128,202,217],"unknown":[113],"pattern":[115,135,151],"follow":[119],"criteria":[121],"these":[125],"techniques.":[127],"when":[132,148,161],"tends":[136,152],"change":[138],"at":[139],"certain":[140],"time":[141],"intervals,":[142],"series":[145],"repeat":[154],"itself,":[155],"kernel":[158,190],"does":[164],"not":[165],"have":[166],"specific":[168],"way.":[169],"This":[170],"study":[171],"aims":[172],"obtain":[174],"parameter":[175],"estimates":[176],"mixed":[179],"on":[191,206,222],"biresponse":[193],"Weighted":[197],"Least":[198],"Square":[199],"(WLS)":[200],"method.":[201],"formed":[203],"depends":[205],"selection":[208],"knot":[210],"points,":[211],"oscillation":[212],"parameters,":[213],"optimal":[215],"bandwidth.":[216],"best":[218],"based":[221],"smallest":[224],"Generalized":[225],"Cross":[226],"Validation":[227],"(GCV).":[228]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-11-22T00:00:00"}
