{"id":"https://openalex.org/W3018399320","doi":"https://doi.org/10.1201/9780429334979-7","title":"Testing the Model","display_name":"Testing the Model","publication_year":2020,"publication_date":"2020-04-22","ids":{"openalex":"https://openalex.org/W3018399320","doi":"https://doi.org/10.1201/9780429334979-7","mag":"3018399320"},"language":"en","primary_location":{"id":"doi:10.1201/9780429334979-7","doi":"https://doi.org/10.1201/9780429334979-7","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9780429334979-7","pdf_url":null,"source":{"id":"https://openalex.org/S4306463855","display_name":"Routledge eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Forecasting for Planners:","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W1536068404","display_name":"Energy Forecasting for Planners:"},"type":"book-chapter","is_traditional":true,"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/A5017460691","display_name":"W. Patrick Beaton","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. Patrick Beaton","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001638304","display_name":"Jon H. Weyland","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jon H. Weyland","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088923900","display_name":"Nancy C. Neuman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nancy C. Neuman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002222418","display_name":"William R. Dolphin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William R. Dolphin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055969110","display_name":"Joseph Garlick","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joseph Garlick","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.07869013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.7645999789237976,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.7645999789237976,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.13050000369548798,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.016200000420212746,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/travel-behavior-modeling","display_name":"travel behavior modeling","score":0.5889999866485596},{"id":"https://openalex.org/keywords/model-testing","display_name":"model testing","score":0.7250000238418579},{"id":"https://openalex.org/keywords/residuals","display_name":"residuals","score":0.699999988079071},{"id":"https://openalex.org/keywords/residual-plots","display_name":"residual plots","score":0.7070000171661377},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"mean absolute percentage error","score":0.8920000195503235},{"id":"https://openalex.org/keywords/model-validation","display_name":"model validation","score":0.30300000309944153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3958090543746948}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9780429334979-7","doi":"https://doi.org/10.1201/9780429334979-7","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9780429334979-7","pdf_url":null,"source":{"id":"https://openalex.org/S4306463855","display_name":"Routledge eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Forecasting for Planners:","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2995940132","https://openalex.org/W4246238746","https://openalex.org/W1971232747","https://openalex.org/W4225079869","https://openalex.org/W2763973249","https://openalex.org/W4232059338","https://openalex.org/W1973431222","https://openalex.org/W2090087817","https://openalex.org/W1995400625","https://openalex.org/W7024969764"],"abstract_inverted_index":{"After":[0],"the":[1,4,10,13,16,18,22,25,30,33,46,49,51,55,66,69,85,90,93,98,103,110,115,121,131,136,139],"selection":[2],"of":[3,24,32,48,81,138,145],"basic":[5],"equation":[6],"that":[7,72,87],"best":[8],"represents":[9],"relationships":[11],"among":[12],"variables":[14],"in":[15,21,53,68,89,96,108,129],"equation,":[17],"next":[19,106],"step":[20,95,107,128],"exposition":[23],"model":[26,34,91,99,111,132],"is":[27,100,112,133,147],"to":[28,44,101,113,134],"test":[29],"strength":[31],"under":[35],"different":[36,41],"conditions.":[37],"This":[38],"chapter":[39],"presents":[40],"testing":[42,97,109,130],"procedures":[43],"examine":[45,114,135],"behavior":[47,57],"residuals,":[50],"errors":[52],"predicting":[54],"travel":[56],"values":[58],"for":[59],"a":[60,76,143],"given":[61],"year":[62],"or":[63,78],"county,":[64],"and":[65,92,120],"changes":[67],"regression":[70,140],"coefficients":[71,141],"occur":[73,88],"following":[74],"either":[75],"random":[77],"selective":[79],"omission":[80],"cases.":[82],"Residuals":[83],"are":[84],"\u201cerrors\u201d":[86],"first":[94],"plot":[102],"residuals.":[104],"The":[105,126],"mean":[116,122],"absolute":[117],"percentage":[118,124],"error":[119],"square":[123],"error.":[125],"third":[127],"stability":[137],"when":[142],"subset":[144],"cases":[146],"deleted.":[148]},"counts_by_year":[],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2020-05-01T00:00:00"}