Publication Information

{'id': 'https://openalex.org/W2913129662', 'doi': 'https://doi.org/10.1080/03610918.2019.1568471', 'title': 'Fiducial inference for gamma distributions: two-sample problems', 'display_name': 'Fiducial inference for gamma distributions: two-sample problems', 'publication_year': 2019, 'publication_date': '2019-02-01', 'ids': {'openalex': 'https://openalex.org/W2913129662', 'doi': 'https://doi.org/10.1080/03610918.2019.1568471', 'mag': '2913129662'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1080/03610918.2019.1568471', 'pdf_url': None, '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': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], '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/A5086590149', 'display_name': 'Xiao Wang', 'orcid': 'https://orcid.org/0000-0002-0930-8357'}, 'institutions': [{'id': 'https://openalex.org/I108688024', 'display_name': 'Qingdao University', 'ror': 'https://ror.org/021cj6z65', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I108688024']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Xiao Wang', 'raw_affiliation_strings': ['School of Mathematics and Statistics, Qingdao University, Qingdao, China'], 'affiliations': [{'raw_affiliation_string': 'School of Mathematics and Statistics, Qingdao University, Qingdao, China', 'institution_ids': ['https://openalex.org/I108688024']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5090038262', 'display_name': 'Chenchen Zou', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I108688024', 'display_name': 'Qingdao University', 'ror': 'https://ror.org/021cj6z65', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I108688024']}], 'countries': ['CN'], 'is_corresponding': True, 'raw_author_name': 'Chenchen Zou', 'raw_affiliation_strings': ['School of Mathematics and Statistics, Qingdao University, Qingdao, China'], 'affiliations': [{'raw_affiliation_string': 'School of Mathematics and Statistics, Qingdao University, Qingdao, China', 'institution_ids': ['https://openalex.org/I108688024']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5039444793', 'display_name': 'Li Yi', 'orcid': 'https://orcid.org/0000-0001-6018-0793'}, 'institutions': [{'id': 'https://openalex.org/I12912129', 'display_name': 'Northeastern University', 'ror': 'https://ror.org/04t5xt781', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I12912129']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Li Yi', 'raw_affiliation_strings': ['School of Mathematical Sciences, Northeastern University, Boston, Massachusetts, USA'], 'affiliations': [{'raw_affiliation_string': 'School of Mathematical Sciences, Northeastern University, Boston, Massachusetts, USA', 'institution_ids': ['https://openalex.org/I12912129']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100347493', 'display_name': 'Juan Wang', 'orcid': 'https://orcid.org/0000-0003-4291-177X'}, 'institutions': [{'id': 'https://openalex.org/I108688024', 'display_name': 'Qingdao University', 'ror': 'https://ror.org/021cj6z65', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I108688024']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Juan Wang', 'raw_affiliation_strings': ['School of Mathematics and Statistics, Qingdao University, Qingdao, China'], 'affiliations': [{'raw_affiliation_string': 'School of Mathematics and Statistics, Qingdao University, Qingdao, China', 'institution_ids': ['https://openalex.org/I108688024']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5100678724', 'display_name': 'Xinmin Li', 'orcid': 'https://orcid.org/0000-0002-2573-5236'}, 'institutions': [{'id': 'https://openalex.org/I108688024', 'display_name': 'Qingdao University', 'ror': 'https://ror.org/021cj6z65', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I108688024']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Xinmin Li', 'raw_affiliation_strings': ['School of Mathematics and Statistics, Qingdao University, Qingdao, China'], 'affiliations': [{'raw_affiliation_string': 'School of Mathematics and Statistics, Qingdao University, Qingdao, China', 'institution_ids': ['https://openalex.org/I108688024']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 2, 'corresponding_author_ids': ['https://openalex.org/A5090038262'], 'corresponding_institution_ids': ['https://openalex.org/I108688024'], 'apc_list': None, 'apc_paid': None, 'fwci': 2.38, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 19, 'citation_normalized_percentile': {'value': 0.859508, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 91, 'max': 92}, 'biblio': {'volume': '50', 'issue': '3', 'first_page': '811', 'last_page': '821'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10243', 'display_name': 'Statistical Methods and Bayesian Inference', 'score': 0.9976, '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/T10243', 'display_name': 'Statistical Methods and Bayesian Inference', 'score': 0.9976, '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/T10968', 'display_name': 'Statistical Distribution Estimation and Applications', 'score': 0.9968, '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': 0.995, '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/fiducial-marker', 'display_name': 'Fiducial marker', 'score': 0.953341}, {'id': 'https://openalex.org/keywords/fiducial-inference', 'display_name': 'Fiducial inference', 'score': 0.69603336}, {'id': 'https://openalex.org/keywords/statistical-inference', 'display_name': 'Statistical Inference', 'score': 0.44780716}, {'id': 'https://openalex.org/keywords/sample', 'display_name': 'Sample (material)', 'score': 0.4340726}], 'concepts': [{'id': 'https://openalex.org/C173974348', 'wikidata': 'https://www.wikidata.org/wiki/Q1469893', 'display_name': 'Fiducial marker', 'level': 2, 'score': 0.953341}, {'id': 'https://openalex.org/C95167961', 'wikidata': 'https://www.wikidata.org/wiki/Q4483495', 'display_name': 'Fiducial inference', 'level': 5, 'score': 0.69603336}, {'id': 'https://openalex.org/C44249647', 'wikidata': 'https://www.wikidata.org/wiki/Q208498', 'display_name': 'Confidence interval', 'level': 2, 'score': 0.64590967}, {'id': 'https://openalex.org/C117251300', 'wikidata': 'https://www.wikidata.org/wiki/Q1849855', 'display_name': 'Parametric statistics', 'level': 2, 'score': 0.62406063}, {'id': 'https://openalex.org/C2776214188', 'wikidata': 'https://www.wikidata.org/wiki/Q408386', 'display_name': 'Inference', 'level': 2, 'score': 0.57251716}, {'id': 'https://openalex.org/C19499675', 'wikidata': 'https://www.wikidata.org/wiki/Q232207', 'display_name': 'Monte Carlo method', 'level': 2, 'score': 0.5522011}, {'id': 'https://openalex.org/C134261354', 'wikidata': 'https://www.wikidata.org/wiki/Q938438', 'display_name': 'Statistical inference', 'level': 2, 'score': 0.44780716}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.44730374}, {'id': 'https://openalex.org/C198531522', 'wikidata': 'https://www.wikidata.org/wiki/Q485146', 'display_name': 'Sample (material)', 'level': 2, 'score': 0.4340726}, {'id': 'https://openalex.org/C129848803', 'wikidata': 'https://www.wikidata.org/wiki/Q2564360', 'display_name': 'Sample size determination', 'level': 2, 'score': 0.43394703}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.43061683}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.40032598}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.35593098}, {'id': 'https://openalex.org/C160234255', 'wikidata': 'https://www.wikidata.org/wiki/Q812535', 'display_name': 'Bayesian inference', 'level': 3, 'score': 0.17820048}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.128858}, {'id': 'https://openalex.org/C107673813', 'wikidata': 'https://www.wikidata.org/wiki/Q812534', 'display_name': 'Bayesian probability', 'level': 2, 'score': 0.12818328}, {'id': 'https://openalex.org/C101112237', 'wikidata': 'https://www.wikidata.org/wiki/Q4874481', 'display_name': 'Bayesian statistics', 'level': 4, 'score': 0.11618027}, {'id': 'https://openalex.org/C97355855', 'wikidata': 'https://www.wikidata.org/wiki/Q11473', 'display_name': 'Thermodynamics', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1080/03610918.2019.1568471', 'pdf_url': None, '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': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'display_name': 'Responsible consumption and production', 'score': 0.5, 'id': 'https://metadata.un.org/sdg/12'}], 'grants': [{'funder': 'https://openalex.org/F4320321001', 'funder_display_name': 'National Natural Science Foundation of China', 'award_id': '11501134'}, {'funder': 'https://openalex.org/F4320321001', 'funder_display_name': 'National Natural Science Foundation of China', 'award_id': '11871294'}, {'funder': 'https://openalex.org/F4320321001', 'funder_display_name': 'National Natural Science Foundation of China', 'award_id': 'ZR2014AM019'}], 'datasets': [], 'versions': [], 'referenced_works_count': 15, 'referenced_works': ['https://openalex.org/W1498987318', 'https://openalex.org/W1826429910', 'https://openalex.org/W1892971178', 'https://openalex.org/W1966411627', 'https://openalex.org/W1969009767', 'https://openalex.org/W1996399172', 'https://openalex.org/W2031564392', 'https://openalex.org/W2084836553', 'https://openalex.org/W2093380049', 'https://openalex.org/W2111478657', 'https://openalex.org/W2526298724', 'https://openalex.org/W2556872396', 'https://openalex.org/W2795510560', 'https://openalex.org/W4248220546', 'https://openalex.org/W4299603473'], 'related_works': ['https://openalex.org/W4322760254', 'https://openalex.org/W3017020030', 'https://openalex.org/W3000984192', 'https://openalex.org/W2478683457', 'https://openalex.org/W2329989081', 'https://openalex.org/W2145181052', 'https://openalex.org/W2134368299', 'https://openalex.org/W2103073163', 'https://openalex.org/W2039912667', 'https://openalex.org/W137830373'], 'abstract_inverted_index': {'This': [0], 'article': [1], 'derives': [2], 'the': [3, 16, 19, 37, 55, 62], 'fiducial': [4, 40, 68], 'inferences': [5], 'for': [6, 15, 78], 'two-sample': [7], 'gamma': [8], 'distributions.': [9], 'Confidence': [10], 'intervals': [11], '(CIs)': [12], 'are': [13, 32, 70], 'constructed': [14], 'difference': [17], 'between': [18], 'shape,': [20], 'scale': [21], 'parameters': [22], 'and': [23, 42, 48, 61], 'means': [24], 'of': [25, 39], 'two': [26], 'populations.': [27], 'Fiducial': [28], 'based': [29], 'hypothesis': [30], 'tests': [31, 43, 65], 'also': [33, 82], 'derived.': [34], 'We': [35], 'evaluated': [36], 'performance': [38], 'CIs': [41], 'by': [44], 'Monte': [45], 'Carlo': [46], 'simulation': [47], 'compared': [49], 'with': [50], 'published': [51], 'methods': [52, 77, 90], 'such': [53], 'as': [54], 'parametric': [56], 'bootstrap': [57], '(PB),': [58], 'Shiue-Bain-Engelhardt': [59], '(SBE)': [60], 'signed-likelihood': [63], 'ratio': [64], '(SLRT).': [66], 'Our': [67], 'approaches': [69], 'not': [71], 'only': [72], 'more': [73], 'accurate': [74], 'than': [75, 85], 'other': [76], 'small': [79], 'samples,': [80], 'but': [81], 'much': [83], 'faster': [84], 'existing': [86], 'methods.': [87], 'And': [88], 'our': [89], 'outperform': [91], 'others': [92], 'in': [93], 'real-life': [94], 'applications': [95], 'too.': [96]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2913129662', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2023, 'cited_by_count': 3}, {'year': 2022, 'cited_by_count': 9}, {'year': 2021, 'cited_by_count': 3}, {'year': 2020, 'cited_by_count': 2}], 'updated_date': '2024-12-22T19:11:45.309969', 'created_date': '2019-02-21'}