{"id":"https://openalex.org/W2374894797","doi":null,"title":"Summary on Application of Regression Analysis in Water Science","display_name":"Summary on Application of Regression Analysis in Water Science","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2374894797","mag":"2374894797"},"language":"en","primary_location":{"id":"mag:2374894797","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZNSD200411014.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2765075493","display_name":"China Rural Water and Hydropower","issn_l":"1007-2284","issn":["1007-2284"],"is_oa":false,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4324013570","host_organization_name":"The Editorial Office Of China Rural Water And Hydropower","host_organization_lineage":["https://openalex.org/P4324013570"],"host_organization_lineage_names":["The Editorial Office Of China Rural Water And Hydropower"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"China Rural Water and Hydropower","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5113544384","display_name":"Wang Guo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang Guo","raw_affiliation_strings":["-Li  1, CHEN Xiao-Fei  2, LIU Kan  2, Jiang Guo-Yong  1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"-Li  1, CHEN Xiao-Fei  2, LIU Kan  2, Jiang Guo-Yong  1","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5113544384"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.323451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.5264000296592712,"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/T13141","display_name":"Statistical Methods and Applications","score":0.5264000296592712,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.4169999957084656,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.03229999914765358,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/regression-analysis","display_name":"regression analysis","score":0.9810000061988831},{"id":"https://openalex.org/keywords/water-science","display_name":"water science","score":0.9409999847412109},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"principal component regression","score":0.9990000128746033},{"id":"https://openalex.org/keywords/robust-regression","display_name":"robust regression","score":1.0},{"id":"https://openalex.org/keywords/autoregression","display_name":"autoregression","score":0.847000002861023},{"id":"https://openalex.org/keywords/fuzzy-regression","display_name":"fuzzy regression","score":1.0},{"id":"https://openalex.org/keywords/regression-method-comparison","display_name":"regression method comparison","score":0.5770000219345093}],"concepts":[{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.7235924005508423},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6915490031242371},{"id":"https://openalex.org/C35519122","wikidata":"https://www.wikidata.org/wiki/Q3775699","display_name":"Segmented regression","level":4,"score":0.6663087010383606},{"id":"https://openalex.org/C93698799","wikidata":"https://www.wikidata.org/wiki/Q5428730","display_name":"Factor regression model","level":5,"score":0.6429193019866943},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.6309336423873901},{"id":"https://openalex.org/C90157343","wikidata":"https://www.wikidata.org/wiki/Q5188196","display_name":"Cross-sectional regression","level":4,"score":0.6239062547683716},{"id":"https://openalex.org/C44882253","wikidata":"https://www.wikidata.org/wiki/Q3455882","display_name":"Multivariate adaptive regression splines","level":4,"score":0.6056172847747803},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.5719650983810425},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5689091682434082},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.5491410493850708},{"id":"https://openalex.org/C60316415","wikidata":"https://www.wikidata.org/wiki/Q6664520","display_name":"Local regression","level":4,"score":0.5279499888420105},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.523377537727356},{"id":"https://openalex.org/C185265303","wikidata":"https://www.wikidata.org/wiki/Q7309537","display_name":"Regression dilution","level":4,"score":0.46504440903663635},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.4496309757232666},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.4167846143245697},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.41264596581459045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4014561176300049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32400017976760864}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2374894797","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZNSD200411014.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2765075493","display_name":"China Rural Water and Hydropower","issn_l":"1007-2284","issn":["1007-2284"],"is_oa":false,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4324013570","host_organization_name":"The Editorial Office Of China Rural Water And Hydropower","host_organization_lineage":["https://openalex.org/P4324013570"],"host_organization_lineage_names":["The Editorial Office Of China Rural Water And Hydropower"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"China Rural Water and Hydropower","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.965499997138977,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2350937080","https://openalex.org/W2072669824","https://openalex.org/W105886743","https://openalex.org/W4232146854","https://openalex.org/W7066809369","https://openalex.org/W4282967233","https://openalex.org/W4206974938","https://openalex.org/W3216796347","https://openalex.org/W2368432847","https://openalex.org/W105861753"],"abstract_inverted_index":{"With":[0],"the":[1,11,22,26,31],"development":[2,32],"of":[3,25,33,76],"Statistics,":[4],"regression":[5,12,27,38,61,64,78],"analysis":[6,39],"theory":[7],"is":[8],"evolving,":[9],"and":[10,21,62,73,83],"algorithms":[13,28],"are":[14,65,80],"found":[15],"wide":[16,23],"applications":[17,24],"in":[18,42,68],"water":[19,34,43],"science,":[20],"can":[29],"promote":[30],"science.":[35],"The":[36,71],"new":[37],"methods":[40],"applied":[41],"science":[44],"such":[45],"as":[46],"bridge":[47],"regression,":[48,51,53,56,59],"principal":[49],"component":[50],"robust":[52],"auto-regression,":[54],"envelope":[55],"multi-stratum":[57],"recursive":[58],"fuzzy":[60],"grey":[63],"introduced":[66],"systematically":[67],"this":[69],"paper.":[70],"advantages":[72],"applicable":[74],"scopes":[75],"each":[77],"method":[79],"also":[81],"induced":[82],"summarized.":[84]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2016-06-24T00:00:00"}