{"id":"https://openalex.org/W2973624515","doi":"https://doi.org/10.1080/03610918.2019.1667391","title":"Test for the parametric part in partial functional linear regression based on B-spline","display_name":"Test for the parametric part in partial functional linear regression based on B-spline","publication_year":2019,"publication_date":"2019-09-16","ids":{"openalex":"https://openalex.org/W2973624515","doi":"https://doi.org/10.1080/03610918.2019.1667391","mag":"2973624515"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1667391","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1667391","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/A5069183609","display_name":"Mingao Yuan","orcid":"https://orcid.org/0000-0002-3962-262X"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mingao Yuan","raw_affiliation_strings":["Department of Statistics, North Dakota State University, Fargo, North Dakota, USA;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, North Dakota State University, Fargo, North Dakota, USA;","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333712","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-4017-3681"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Department of Mathematics, Indiana University-Purdue University, Indianapolis, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Indiana University-Purdue University, Indianapolis, Indiana, USA","institution_ids":["https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069183609"],"corresponding_institution_ids":["https://openalex.org/I57328836"],"apc_list":null,"apc_paid":null,"fwci":0.6786,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72302418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"50","issue":"1","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9800000190734863,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9800000190734863,"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/T10288","display_name":"Fractional Differential Equations Solutions","score":0.9394000172615051,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.902400016784668,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.7210947871208191},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7107176780700684},{"id":"https://openalex.org/keywords/chi-square-test","display_name":"Chi-square test","score":0.5617591142654419},{"id":"https://openalex.org/keywords/null-distribution","display_name":"Null distribution","score":0.5570385456085205},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5461869835853577},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5373273491859436},{"id":"https://openalex.org/keywords/null-hypothesis","display_name":"Null hypothesis","score":0.5343659520149231},{"id":"https://openalex.org/keywords/f-test","display_name":"F-test","score":0.4987757205963135},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.46580272912979126},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.46290525794029236},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4577057361602783}],"concepts":[{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.7210947871208191},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7107176780700684},{"id":"https://openalex.org/C32809988","wikidata":"https://www.wikidata.org/wiki/Q1071004","display_name":"Chi-square test","level":2,"score":0.5617591142654419},{"id":"https://openalex.org/C120639","wikidata":"https://www.wikidata.org/wiki/Q7068958","display_name":"Null distribution","level":4,"score":0.5570385456085205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5461869835853577},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5373273491859436},{"id":"https://openalex.org/C191988596","wikidata":"https://www.wikidata.org/wiki/Q628374","display_name":"Null hypothesis","level":2,"score":0.5343659520149231},{"id":"https://openalex.org/C110460608","wikidata":"https://www.wikidata.org/wiki/Q1386253","display_name":"F-test","level":3,"score":0.4987757205963135},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.46580272912979126},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.46290525794029236},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4577057361602783}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1667391","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1667391","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W206706296","https://openalex.org/W1597891688","https://openalex.org/W1995775640","https://openalex.org/W2025139691","https://openalex.org/W2050286104","https://openalex.org/W2059173978","https://openalex.org/W2078731137","https://openalex.org/W2082483588","https://openalex.org/W2143220485","https://openalex.org/W2171487130","https://openalex.org/W2227516623","https://openalex.org/W2413219918","https://openalex.org/W2523740911","https://openalex.org/W2569586013","https://openalex.org/W2593261026","https://openalex.org/W2807749037","https://openalex.org/W3100020851","https://openalex.org/W3101449523","https://openalex.org/W4293747882"],"related_works":["https://openalex.org/W2999225276","https://openalex.org/W1449571481","https://openalex.org/W3000603176","https://openalex.org/W2015412018","https://openalex.org/W4312206274","https://openalex.org/W4200217769","https://openalex.org/W2503526006","https://openalex.org/W1981110247","https://openalex.org/W2032513700","https://openalex.org/W2033304278"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,65,90],"investigate":[4],"the":[5,9,28,34,42,46,50,54,59,68,71],"hypothesis":[6,52],"test":[7,22,47,73,82],"of":[8,31,45,70,80],"parametric":[10],"component":[11],"in":[12],"partial":[13],"functional":[14],"linear":[15],"regression":[16],"model":[17],"based":[18],"on":[19],"B-spline.":[20],"The":[21,76],"statistic":[23,48],"is":[24,53,83],"constructed":[25],"by":[26,85],"using":[27],"residual":[29],"sums":[30],"squares":[32],"under":[33,49],"null":[35,51],"and":[36],"alternative":[37],"hypothesis.":[38],"We":[39],"show":[40],"that":[41,67],"limiting":[43],"distribution":[44],"chi-square":[55],"distribution.":[56],"Besides,":[57],"as":[58],"sample":[60,78],"size":[61],"goes":[62],"to":[63],"infinity,":[64],"prove":[66],"power":[69],"proposed":[72],"approaches":[74],"1.":[75],"finite":[77],"performance":[79],"our":[81,92],"evaluated":[84],"a":[86],"simulation":[87],"study.":[88],"Also,":[89],"compare":[91],"method":[93],"with":[94],"existing":[95],"method.":[96]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
