{"id":"https://openalex.org/W2044166603","doi":"https://doi.org/10.1109/tcad.1987.1270342","title":"Statistical Performance Modeling and Parametric Yield Estimation of MOS VLSI","display_name":"Statistical Performance Modeling and Parametric Yield Estimation of MOS VLSI","publication_year":1987,"publication_date":"1987-11-01","ids":{"openalex":"https://openalex.org/W2044166603","doi":"https://doi.org/10.1109/tcad.1987.1270342","mag":"2044166603"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.1987.1270342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.1987.1270342","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"},"type":"article","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/A5082908231","display_name":"Tat-Kwan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tat-Kwan Yu","raw_affiliation_strings":["Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009963704","display_name":"Sung Mo Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sung Mo Kang","raw_affiliation_strings":["Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031278327","display_name":"Ibrahim Haji","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I.N. Haji","raw_affiliation_strings":["Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111888059","display_name":"T.N. Trick","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.N. Trick","raw_affiliation_strings":["Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082908231"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":1.4701,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.84405941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":"6","first_page":"1013","last_page":"1022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.8279598355293274},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.7360056638717651},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5807338356971741},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.5530788898468018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5319253206253052},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.49837446212768555},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4826555848121643},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4384540915489197},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4338894188404083},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4319288432598114},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2960647940635681},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27819937467575073},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15406963229179382}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.8279598355293274},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.7360056638717651},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5807338356971741},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.5530788898468018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5319253206253052},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.49837446212768555},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4826555848121643},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4384540915489197},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4338894188404083},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4319288432598114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2960647940635681},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27819937467575073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15406963229179382},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.1987.1270342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.1987.1270342","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W63802623","https://openalex.org/W133902753","https://openalex.org/W1967514275","https://openalex.org/W1974689592","https://openalex.org/W1980263616","https://openalex.org/W1992277192","https://openalex.org/W2022926142","https://openalex.org/W2032395212","https://openalex.org/W2032990045","https://openalex.org/W2064206680","https://openalex.org/W2103368439","https://openalex.org/W2150090234","https://openalex.org/W2171450065","https://openalex.org/W2330516765","https://openalex.org/W3103871524","https://openalex.org/W4235506169","https://openalex.org/W4253984409"],"related_works":["https://openalex.org/W4283025278","https://openalex.org/W2082432309","https://openalex.org/W817174743","https://openalex.org/W2050492524","https://openalex.org/W2113262364","https://openalex.org/W2111813998","https://openalex.org/W3140006633","https://openalex.org/W1607827294","https://openalex.org/W2895680438","https://openalex.org/W2593688499"],"abstract_inverted_index":{"A":[0],"major":[1],"cost":[2],"in":[3,7,28,108],"statistical":[4,134],"analysis":[5],"occurs":[6],"repeated":[8],"system":[9,12,21,32],"simulation":[10,81],"as":[11],"parameters":[13,154],"are":[14,23,36],"varied.":[15],"To":[16],"reduce":[17],"this":[18],"cost,":[19],"the":[20,41,71,109,116,119],"performances":[22,64],"approximated":[24],"by":[25,147],"regression":[26,58,121],"models":[27,35,59,136],"terms":[29],"of":[30,60,77,106,118,159],"critical":[31,152],"parameters.":[33],"These":[34],"then":[37],"used":[38,68,100],"to":[39,69,101],"predict":[40],"performance":[42,135],"variations":[43],"and":[44,52,86,90,115,137,155],"parametric":[45,72,91,138],"yield.":[46,73],"This":[47,74],"paper":[48],"presents":[49],"a":[50,156],"systematic":[51],"computationally":[53],"efficient":[54],"method":[55,75],"for":[56,112,141],"deriving":[57],"MOS":[61,142],"VLSI":[62,143],"circuit":[63,113,160],"that":[65,132],"can":[66,144],"be":[67,128,145],"estimate":[70,140],"consists":[76],"four":[78,149],"fundamental":[79],"steps:":[80],"point":[82],"selection,":[83],"model":[84,88,122],"fitting":[85],"validation,":[87],"improvement,":[89],"yield":[92,139],"estimation.":[93],"An":[94],"average":[95],"mean-squared":[96],"error":[97],"criterion":[98],"is":[99,123],"select":[102],"an":[103],"optimal":[104],"set":[105],"points":[107],"design":[110],"space":[111],"simulations,":[114],"adequacy":[117],"fitted":[120],"checked":[124],"rigorously.":[125],"It":[126],"will":[127],"shown":[129],"through":[130],"examples":[131],"accurate":[133],"derived":[146],"using":[148],"or":[150],"five":[151],"device":[153],"small":[157],"number":[158],"simulations.":[161]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
