{"id":"https://openalex.org/W4404978530","doi":"https://doi.org/10.1145/3686592.3686608","title":"Hypothesis Testing of Spatial and Temporal Weighted Ordinal Logistic Regression","display_name":"Hypothesis Testing of Spatial and Temporal Weighted Ordinal Logistic Regression","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4404978530","doi":"https://doi.org/10.1145/3686592.3686608"},"language":"en","primary_location":{"id":"doi:10.1145/3686592.3686608","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686592.3686608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Mathematics and Statistics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067492547","display_name":"Margaretha Ohyver","orcid":"https://orcid.org/0000-0002-6844-8480"},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]},{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Margaretha Ohyver","raw_affiliation_strings":["Department of Statistics, Bina Nusantara University, Surabaya, Jawa Timur, Indonesia","Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Jawa Timur, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-6844-8480","affiliations":[{"raw_affiliation_string":"Department of Statistics, Bina Nusantara University, Surabaya, Jawa Timur, Indonesia","institution_ids":["https://openalex.org/I166073570"]},{"raw_affiliation_string":"Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Jawa Timur, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077504565","display_name":"Purhadi Purhadi","orcid":"https://orcid.org/0000-0002-1186-2664"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Purhadi Purhadi","raw_affiliation_strings":["Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Jawa Timur, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-1186-2664","affiliations":[{"raw_affiliation_string":"Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Jawa Timur, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010938891","display_name":"Achmad Choiruddin","orcid":"https://orcid.org/0000-0003-2568-2274"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Achmad Choiruddin","raw_affiliation_strings":["Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Jawa Timur, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-2568-2274","affiliations":[{"raw_affiliation_string":"Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Jawa Timur, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33853541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9480999708175659,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9480999708175659,"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/logistic-regression","display_name":"Logistic regression","score":0.705026388168335},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.6402989625930786},{"id":"https://openalex.org/keywords/ordered-logit","display_name":"Ordered logit","score":0.6249813437461853},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.5757930278778076},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5400962829589844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5344426035881042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5019662380218506},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.4388044476509094},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34754228591918945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34202146530151367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33295655250549316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33084818720817566},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32157275080680847}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.705026388168335},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.6402989625930786},{"id":"https://openalex.org/C87227347","wikidata":"https://www.wikidata.org/wiki/Q7100713","display_name":"Ordered logit","level":2,"score":0.6249813437461853},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.5757930278778076},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5400962829589844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5344426035881042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5019662380218506},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.4388044476509094},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34754228591918945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34202146530151367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33295655250549316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33084818720817566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32157275080680847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3686592.3686608","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686592.3686608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Mathematics and Statistics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W567881581","https://openalex.org/W1599043334","https://openalex.org/W1829241487","https://openalex.org/W1839794303","https://openalex.org/W1971794754","https://openalex.org/W1982941932","https://openalex.org/W2010059799","https://openalex.org/W2054137409","https://openalex.org/W2097482322","https://openalex.org/W2511492194","https://openalex.org/W2805144757","https://openalex.org/W2969513751","https://openalex.org/W3104343112","https://openalex.org/W3148859708","https://openalex.org/W4280570547"],"related_works":["https://openalex.org/W2912776266","https://openalex.org/W1539030525","https://openalex.org/W4390541028","https://openalex.org/W1572610764","https://openalex.org/W2280518915","https://openalex.org/W1933098239","https://openalex.org/W4240616498","https://openalex.org/W4239252336","https://openalex.org/W2979072339","https://openalex.org/W39627588"],"abstract_inverted_index":{"Regression":[0,55],"is":[1,16,116],"one":[2],"of":[3,10,36,60,75,113,121,137],"the":[4,11,26,61,66,96,100,119,129,135,142,146],"most":[5],"popular":[6],"statistical":[7],"methods.":[8],"One":[9],"reasons":[12],"for":[13,126,149],"this":[14,114,138],"popularity":[15],"that":[17,99],"it":[18],"can":[19],"suggest":[20],"which":[21],"independent":[22,76],"variable":[23,71],"significantly":[24],"affects":[25],"dependent":[27,70],"variable.":[28],"This":[29,46],"suggestion":[30],"helps":[31],"decision-makers":[32],"have":[33,103,141],"an":[34,58,82],"overview":[35],"current":[37],"or":[38],"past":[39],"situations":[40],"and":[41,50,72,88,123,145],"compose":[42],"important":[43],"future":[44],"actions.":[45],"research":[47,115],"proposes":[48],"Spatial":[49],"Temporal":[51],"Weighted":[52],"Ordinal":[53],"Logistic":[54],"(STWOLR)":[56],"as":[57,107],"extension":[59],"regression":[62,106],"method.":[63,110],"STWOLR":[64,127],"describes":[65],"relationships":[67],"between":[68],"ordinal":[69],"a":[73],"number":[74],"variables.":[77],"In":[78],"STWOLR,":[79],"there":[80],"are":[81,95],"estimated":[83],"model,":[84],"simultaneous":[85,122],"test":[86,144],"hypothesis,":[87],"partial":[89,124],"hypothesis":[90,151],"test.":[91,133],"These":[92],"three":[93],"points":[94,98],"general":[97],"researcher":[101],"usually":[102],"when":[104],"using":[105,128],"their":[108],"analysis":[109],"The":[111],"objective":[112],"to":[117],"determine":[118],"form":[120],"tests":[125],"maximum":[130],"likelihood":[131],"ratio":[132],"At":[134],"end":[136],"article,":[139],"we":[140],"statistics":[143],"rejection":[147],"rule":[148],"both":[150],"tests.":[152]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}