{"id":"https://openalex.org/W4316923420","doi":"https://doi.org/10.53482/2022_53_401","title":"Statistical tests for text homogeneity: using forward and backward processes of numbers of different words","display_name":"Statistical tests for text homogeneity: using forward and backward processes of numbers of different words","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4316923420","doi":"https://doi.org/10.53482/2022_53_401"},"language":"en","primary_location":{"id":"doi:10.53482/2022_53_401","is_oa":true,"landing_page_url":"https://doi.org/10.53482/2022_53_401","pdf_url":"https://glottometrics.iqla.org/wp-content/uploads/2023/01/2022_53_401.pdf","source":{"id":"https://openalex.org/S4210217437","display_name":"Glottometrics","issn_l":"1617-8351","issn":["1617-8351","2625-8226"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Glottometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://glottometrics.iqla.org/wp-content/uploads/2023/01/2022_53_401.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090951323","display_name":"Berhane Abebe","orcid":"https://orcid.org/0000-0003-3161-9271"},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Berhane Abebe","raw_affiliation_strings":["Mainefhi College of Science, Mainefhi, Eritrea","Novosibirsk State University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Mainefhi College of Science, Mainefhi, Eritrea","institution_ids":[]},{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048484896","display_name":"Mikhail Chebunin","orcid":"https://orcid.org/0000-0003-2666-1088"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["DE","RU"],"is_corresponding":false,"raw_author_name":"Mikhail Chebunin","raw_affiliation_strings":["Novosibirsk State University, Novosibirsk, Russia","Karlsruhe Institute of Technology, Institute of Stochastics, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute of Stochastics, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075990398","display_name":"Artyom Kovalevskii","orcid":"https://orcid.org/0000-0001-5808-3134"},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]},{"id":"https://openalex.org/I91727514","display_name":"Novosibirsk State Technical University","ror":"https://ror.org/01b2f6h61","country_code":"RU","type":"education","lineage":["https://openalex.org/I91727514"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Artyom Kovalevskii","raw_affiliation_strings":["Novosibirsk State University, Novosibirsk, Russia","Novosibirsk State Technical University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Novosibirsk State Technical University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I91727514"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069524318","display_name":"Natalia Zakrevskaya","orcid":"https://orcid.org/0000-0002-3106-5988"},"institutions":[{"id":"https://openalex.org/I91727514","display_name":"Novosibirsk State Technical University","ror":"https://ror.org/01b2f6h61","country_code":"RU","type":"education","lineage":["https://openalex.org/I91727514"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Natalia Zakrevskaya","raw_affiliation_strings":["Novosibirsk State Technical University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State Technical University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I91727514"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075990398"],"corresponding_institution_ids":["https://openalex.org/I188973947","https://openalex.org/I91727514"],"apc_list":null,"apc_paid":null,"fwci":0.4164,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69735945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"53","issue":null,"first_page":"42","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.8159999847412109,"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"}},"topics":[{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.8159999847412109,"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/homogeneity","display_name":"Homogeneity (statistics)","score":0.8584834337234497},{"id":"https://openalex.org/keywords/zipfs-law","display_name":"Zipf's law","score":0.7146072387695312},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5726903080940247},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5125929713249207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5055797100067139},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.48269009590148926},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4544757008552551},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.43643718957901}],"concepts":[{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.8584834337234497},{"id":"https://openalex.org/C125932096","wikidata":"https://www.wikidata.org/wiki/Q205472","display_name":"Zipf's law","level":2,"score":0.7146072387695312},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5726903080940247},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5125929713249207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5055797100067139},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.48269009590148926},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4544757008552551},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.43643718957901}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.53482/2022_53_401","is_oa":true,"landing_page_url":"https://doi.org/10.53482/2022_53_401","pdf_url":"https://glottometrics.iqla.org/wp-content/uploads/2023/01/2022_53_401.pdf","source":{"id":"https://openalex.org/S4210217437","display_name":"Glottometrics","issn_l":"1617-8351","issn":["1617-8351","2625-8226"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Glottometrics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.53482/2022_53_401","is_oa":true,"landing_page_url":"https://doi.org/10.53482/2022_53_401","pdf_url":"https://glottometrics.iqla.org/wp-content/uploads/2023/01/2022_53_401.pdf","source":{"id":"https://openalex.org/S4210217437","display_name":"Glottometrics","issn_l":"1617-8351","issn":["1617-8351","2625-8226"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Glottometrics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5366138180","display_name":null,"funder_award_id":"075-15-2019-1675","funder_id":"https://openalex.org/F4320327494","funder_display_name":"Ministry of Science and Higher Education of the Russian Federation"},{"id":"https://openalex.org/G6444257319","display_name":null,"funder_award_id":"075-15-","funder_id":"https://openalex.org/F4320327494","funder_display_name":"Ministry of Science and Higher Education of the Russian Federation"}],"funders":[{"id":"https://openalex.org/F4320327494","display_name":"Ministry of Science and Higher Education of the Russian Federation","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4316923420.pdf"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2013978435","https://openalex.org/W2048649579","https://openalex.org/W2090618725","https://openalex.org/W2334424438","https://openalex.org/W6845083439"],"related_works":["https://openalex.org/W4226211120","https://openalex.org/W2461683294","https://openalex.org/W2795206833","https://openalex.org/W1987205174","https://openalex.org/W3183730129","https://openalex.org/W4321447026","https://openalex.org/W2380849986","https://openalex.org/W2970045733","https://openalex.org/W2504417049","https://openalex.org/W2767043129"],"abstract_inverted_index":{"The":[0,52],"processes":[1],"of":[2,7,67,76,92,108,110,112],"growth":[3],"in":[4,10,15,23,58],"the":[5,16,28,32,72,77,84,89,106],"number":[6],"diverse":[8],"words":[9,57],"a":[11,40,59],"text,":[12],"when":[13],"reading":[14],"forward":[17],"and":[18],"backward":[19],"directions,":[20],"are":[21,61,80],"studied":[22],"this":[24,100],"article.":[25],"Based":[26],"upon":[27],"statistics":[29],"achieved":[30],"from":[31,63],"difference":[33],"between":[34],"these":[35],"two":[36],"processes,":[37],"we":[38],"construct":[39],"statistical":[41,44,78,101],"test.":[42],"This":[43],"test":[45,79,102],"is":[46,103],"used":[47],"for":[48,105],"text":[49,60],"homogeneity":[50,109],"checks.":[51],"elementary":[53,85],"model":[54,87],"states":[55],"that":[56],"selected":[62],"some":[64],"dictionary":[65],"independent":[66],"each":[68],"other":[69],"according":[70],"to":[71],"Zipf\u2013Mandelbrot":[73],"law.":[74],"P-values":[75],"calculated":[81],"based":[82],"on":[83],"probabilistic":[86],"using":[88],"asymptotic":[90],"normality":[91],"corresponding":[93],"statistics.":[94],"At":[95],"last":[96],"but":[97],"not":[98],"least,":[99],"applied":[104],"analysis":[107],"sequences":[111],"sonnets.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
