Publication Information

{'id': 'https://openalex.org/W2362525858', 'doi': None, 'title': 'The Solution of Robust Total Least Squares for Linear Regression Models', 'display_name': 'The Solution of Robust Total Least Squares for Linear Regression Models', 'publication_year': 2015, 'publication_date': '2015-01-01', 'ids': {'openalex': 'https://openalex.org/W2362525858', 'mag': '2362525858'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://en.cnki.com.cn/Article_en/CJFDTotal-DKXB201502017.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S2764345183', 'display_name': 'Dadi celiang yu diqiu donglixue', 'issn_l': '1671-5942', 'issn': ['1671-5942'], 'is_oa': False, 'is_in_doaj': False, 'is_indexed_in_scopus': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5023982904', 'display_name': 'Qishen Wang', 'orcid': 'https://orcid.org/0000-0002-4013-6426'}, 'institutions': [{'id': 'https://openalex.org/I10660446', 'display_name': 'Kunming University of Science and Technology', 'ror': 'https://ror.org/00xyeez13', 'country_code': 'CN', 'type': 'funder', 'lineage': ['https://openalex.org/I10660446']}], 'countries': ['CN'], 'is_corresponding': True, 'raw_author_name': 'Wang Qishen', 'raw_affiliation_strings': ['Faculty of Land Resource Engineering,Kunming university of science and technology'], 'affiliations': [{'raw_affiliation_string': 'Faculty of Land Resource Engineering,Kunming university of science and technology', 'institution_ids': ['https://openalex.org/I10660446']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': ['https://openalex.org/A5023982904'], 'corresponding_institution_ids': ['https://openalex.org/I10660446'], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 1, 'citation_normalized_percentile': {'value': 0.641584, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 66, 'max': 73}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T14051', 'display_name': 'Regional Economic and Spatial Analysis', 'score': 0.982, 'subfield': {'id': 'https://openalex.org/subfields/2002', 'display_name': 'Economics and Econometrics'}, 'field': {'id': 'https://openalex.org/fields/20', 'display_name': 'Economics, Econometrics and Finance'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, 'topics': [{'id': 'https://openalex.org/T14051', 'display_name': 'Regional Economic and Spatial Analysis', 'score': 0.982, 'subfield': {'id': 'https://openalex.org/subfields/2002', 'display_name': 'Economics and Econometrics'}, 'field': {'id': 'https://openalex.org/fields/20', 'display_name': 'Economics, Econometrics and Finance'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, {'id': 'https://openalex.org/T13890', 'display_name': 'Remote Sensing and Land Use', 'score': 0.982, 'subfield': {'id': 'https://openalex.org/subfields/1902', 'display_name': 'Atmospheric Science'}, 'field': {'id': 'https://openalex.org/fields/19', 'display_name': 'Earth and Planetary Sciences'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T12368', 'display_name': 'Grey System Theory Applications', 'score': 0.9761, 'subfield': {'id': 'https://openalex.org/subfields/1803', 'display_name': 'Management Science and Operations Research'}, 'field': {'id': 'https://openalex.org/fields/18', 'display_name': 'Decision Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/robust-regression', 'display_name': 'Robust regression', 'score': 0.667679}, {'id': 'https://openalex.org/keywords/least-squares-function-approximation', 'display_name': 'Least-squares function approximation', 'score': 0.6383823}, {'id': 'https://openalex.org/keywords/basis', 'display_name': 'Basis (linear algebra)', 'score': 0.4730976}], 'concepts': [{'id': 'https://openalex.org/C169241690', 'wikidata': 'https://www.wikidata.org/wiki/Q7828122', 'display_name': 'Total least squares', 'level': 3, 'score': 0.67690927}, {'id': 'https://openalex.org/C70259352', 'wikidata': 'https://www.wikidata.org/wiki/Q1847839', 'display_name': 'Robust regression', 'level': 3, 'score': 0.667679}, {'id': 'https://openalex.org/C188649462', 'wikidata': 'https://www.wikidata.org/wiki/Q2246261', 'display_name': 'Generalized least squares', 'level': 3, 'score': 0.6530846}, {'id': 'https://openalex.org/C9936470', 'wikidata': 'https://www.wikidata.org/wiki/Q6510405', 'display_name': 'Least-squares function approximation', 'level': 3, 'score': 0.6383823}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.63601094}, {'id': 'https://openalex.org/C48921125', 'wikidata': 'https://www.wikidata.org/wiki/Q10861030', 'display_name': 'Linear regression', 'level': 2, 'score': 0.62206525}, {'id': 'https://openalex.org/C45923927', 'wikidata': 'https://www.wikidata.org/wiki/Q3319230', 'display_name': 'Non-linear least squares', 'level': 3, 'score': 0.5311647}, {'id': 'https://openalex.org/C28826006', 'wikidata': 'https://www.wikidata.org/wiki/Q33521', 'display_name': 'Applied mathematics', 'level': 1, 'score': 0.52128243}, {'id': 'https://openalex.org/C163175372', 'wikidata': 'https://www.wikidata.org/wiki/Q3339222', 'display_name': 'Linear model', 'level': 2, 'score': 0.49846005}, {'id': 'https://openalex.org/C46889948', 'wikidata': 'https://www.wikidata.org/wiki/Q2755024', 'display_name': 'Nonlinear regression', 'level': 3, 'score': 0.49174216}, {'id': 'https://openalex.org/C126090379', 'wikidata': 'https://www.wikidata.org/wiki/Q6094424', 'display_name': 'Iteratively reweighted least squares', 'level': 4, 'score': 0.48457658}, {'id': 'https://openalex.org/C2780069185', 'wikidata': 'https://www.wikidata.org/wiki/Q7977945', 'display_name': 'Equivalence (formal languages)', 'level': 2, 'score': 0.482196}, {'id': 'https://openalex.org/C58663186', 'wikidata': 'https://www.wikidata.org/wiki/Q6553462', 'display_name': 'Linear least squares', 'level': 3, 'score': 0.4779501}, {'id': 'https://openalex.org/C182365436', 'wikidata': 'https://www.wikidata.org/wiki/Q50701', 'display_name': 'Variable (mathematics)', 'level': 2, 'score': 0.47439456}, {'id': 'https://openalex.org/C12426560', 'wikidata': 'https://www.wikidata.org/wiki/Q189569', 'display_name': 'Basis (linear algebra)', 'level': 2, 'score': 0.4730976}, {'id': 'https://openalex.org/C152877465', 'wikidata': 'https://www.wikidata.org/wiki/Q208042', 'display_name': 'Regression analysis', 'level': 2, 'score': 0.45608896}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.43567288}, {'id': 'https://openalex.org/C83546350', 'wikidata': 'https://www.wikidata.org/wiki/Q1139051', 'display_name': 'Regression', 'level': 2, 'score': 0.42327642}, {'id': 'https://openalex.org/C32224588', 'wikidata': 'https://www.wikidata.org/wiki/Q7250175', 'display_name': 'Proper linear model', 'level': 4, 'score': 0.41782838}, {'id': 'https://openalex.org/C22354355', 'wikidata': 'https://www.wikidata.org/wiki/Q422009', 'display_name': 'Partial least squares regression', 'level': 2, 'score': 0.41488403}, {'id': 'https://openalex.org/C64946054', 'wikidata': 'https://www.wikidata.org/wiki/Q4874476', 'display_name': 'Bayesian multivariate linear regression', 'level': 3, 'score': 0.3262276}, {'id': 'https://openalex.org/C49847556', 'wikidata': 'https://www.wikidata.org/wiki/Q3964631', 'display_name': 'Explained sum of squares', 'level': 2, 'score': 0.32295}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.10715291}, {'id': 'https://openalex.org/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C118615104', 'wikidata': 'https://www.wikidata.org/wiki/Q121416', 'display_name': 'Discrete mathematics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C185429906', 'wikidata': 'https://www.wikidata.org/wiki/Q1130160', 'display_name': 'Estimator', 'level': 2, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://en.cnki.com.cn/Article_en/CJFDTotal-DKXB201502017.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S2764345183', 'display_name': 'Dadi celiang yu diqiu donglixue', 'issn_l': '1671-5942', 'issn': ['1671-5942'], 'is_oa': False, 'is_in_doaj': False, 'is_indexed_in_scopus': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'score': 0.42, 'id': 'https://metadata.un.org/sdg/10', 'display_name': 'Reduced inequalities'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W861780087', 'https://openalex.org/W3141884505', 'https://openalex.org/W2786866081', 'https://openalex.org/W2524553579', 'https://openalex.org/W2372180710', 'https://openalex.org/W2351126181', 'https://openalex.org/W2259741581', 'https://openalex.org/W2160082541', 'https://openalex.org/W2145147112', 'https://openalex.org/W2139111397', 'https://openalex.org/W2136448982', 'https://openalex.org/W2116396438', 'https://openalex.org/W2110005000', 'https://openalex.org/W2107710404', 'https://openalex.org/W2057683820', 'https://openalex.org/W2043906316', 'https://openalex.org/W2026650951', 'https://openalex.org/W2006717098', 'https://openalex.org/W196925271', 'https://openalex.org/W1558429222'], 'abstract_inverted_index': {'Aiming': [0], 'at': [1], 'the': [2, 10, 17, 22, 28, 31, 49, 53, 58, 64, 67], 'situation': [3], 'that': [4], 'there': [5], 'are': [6], 'gross': [7], 'errors': [8], 'in': [9], 'independent': [11], 'variable': [12, 15], 'and': [13], 'dependent': [14], 'of': [16, 30, 52, 66], 'linear': [18, 54], 'regression': [19, 55], 'model,we': [20, 34], 'propose': [21], 'robust': [23, 37], 'total': [24, 38], 'least': [25, 39], 'squares': [26, 40], 'method.On': [27], 'basis': [29], 'nonlinear': [32], 'adjustment': [33], 'have': [35], 'deduced': [36], 'estimation': [41], 'calculation': [42], 'formula': [43], 'with': [44], 'selecting': [45], 'weight': [46], 'iteration': [47], 'through': [48], 'equivalence': [50], 'transformation': [51], 'model.Finally,we': [56], 'apply': [57], 'method': [59], 'to': [60], 'an': [61], 'example,and': [62], 'verify': [63], 'feasibilities': [65], 'method.': [68]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2362525858', 'counts_by_year': [{'year': 2023, 'cited_by_count': 1}], 'updated_date': '2025-01-25T12:59:56.921577', 'created_date': '2016-06-24'}