{"id":"https://openalex.org/W111443080","doi":"https://doi.org/10.1007/978-3-642-57489-4_96","title":"Using the Forward Library in S-plus","display_name":"Using the Forward Library in S-plus","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W111443080","doi":"https://doi.org/10.1007/978-3-642-57489-4_96","mag":"111443080"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-57489-4_96","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_96","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"},"type":"book-chapter","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/A5014425871","display_name":"Kjell Konis","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kjell Konis","raw_affiliation_strings":["Statistician, Insightful Corporation, Seattle, USA"],"affiliations":[{"raw_affiliation_string":"Statistician, Insightful Corporation, Seattle, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014425871"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05534106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.5889999866485596,"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":0.5889999866485596,"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/unix","display_name":"Unix","score":0.8047612905502319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6543511748313904},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5315734148025513},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.45624035596847534},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.43952885270118713},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.43409040570259094},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.42563414573669434},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4127557575702667},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.4043103754520416},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.39014360308647156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32013678550720215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1953572928905487},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10668334364891052}],"concepts":[{"id":"https://openalex.org/C112968700","wikidata":"https://www.wikidata.org/wiki/Q11368","display_name":"Unix","level":3,"score":0.8047612905502319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6543511748313904},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5315734148025513},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.45624035596847534},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.43952885270118713},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43409040570259094},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.42563414573669434},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4127557575702667},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.4043103754520416},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.39014360308647156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32013678550720215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1953572928905487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10668334364891052},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-57489-4_96","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_96","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2135902042","https://openalex.org/W2289748525","https://openalex.org/W4242212377"],"related_works":["https://openalex.org/W2033889310","https://openalex.org/W644889988","https://openalex.org/W2086577855","https://openalex.org/W2119018183","https://openalex.org/W1575418055","https://openalex.org/W2496732697","https://openalex.org/W189459719","https://openalex.org/W1564198055","https://openalex.org/W1601019617","https://openalex.org/W4311044804"],"abstract_inverted_index":{"The":[0,47],"Forward":[1],"Library":[2],"is":[3,16,78],"an":[4],"S":[5],"language":[6],"implementation":[7],"of":[8,35,41],"the":[9,20,33,38,42,62,68],"forward":[10,21,58],"search":[11,22,59],"described":[12],"in":[13,23,26,31,44,50],".":[14],"Software":[15],"provided":[17,49],"for":[18],"conducting":[19],"linear":[24,28,45],"regression,":[25],"generalised":[27],"models,":[29],"and":[30,67,73],"analysing":[32],"effect":[34],"outliers":[36],"on":[37],"Box-Cox":[39],"transformation":[40],"response":[43],"regression.":[46],"examples":[48],"this":[51],"paper":[52],"demonstrate":[53],"how":[54],"to":[55],"conduct":[56],"a":[57],"using":[60],"both":[61],"graphical":[63],"user":[64],"interface":[65,71],"(Windows)":[66],"command":[69],"line":[70],"(Windows":[72],"Unix/Linux).":[74],"S-plus":[75],"version":[76],"6":[77],"assumed.":[79]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
