{"id":"https://openalex.org/W2066445783","doi":"https://doi.org/10.1109/msp.2007.4286562","title":"Wild Bootstrap Tests","display_name":"Wild Bootstrap Tests","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2066445783","doi":"https://doi.org/10.1109/msp.2007.4286562","mag":"2066445783"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2007.4286562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2007.4286562","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","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/A5102010912","display_name":"J\u00fcrgen Franke","orcid":"https://orcid.org/0000-0002-8634-5944"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jurgen Franke","raw_affiliation_strings":["Center of Excellence Dependable Adaptive Systems and Mathematical Modeling, University of Kaiserslautern (UKL)"],"affiliations":[{"raw_affiliation_string":"Center of Excellence Dependable Adaptive Systems and Mathematical Modeling, University of Kaiserslautern (UKL)","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059354294","display_name":"Siana Halim","orcid":"https://orcid.org/0000-0002-1119-5566"},"institutions":[{"id":"https://openalex.org/I114202661","display_name":"Petra Christian University","ror":"https://ror.org/045e97x26","country_code":"ID","type":"education","lineage":["https://openalex.org/I114202661"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Siana Halim","raw_affiliation_strings":["Department of Industrial Engineering, Universitas Kristen Petra, Surabaya"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Universitas Kristen Petra, Surabaya","institution_ids":["https://openalex.org/I114202661"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102010912"],"corresponding_institution_ids":["https://openalex.org/I153267046"],"apc_list":null,"apc_paid":null,"fwci":0.8372,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7848433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"24","issue":"4","first_page":"31","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6864018440246582},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.6302494406700134},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6245055198669434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5788285732269287},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5688239932060242},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.5159000158309937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5142499804496765},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46475401520729065},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.46039241552352905},{"id":"https://openalex.org/keywords/bonferroni-correction","display_name":"Bonferroni correction","score":0.4399513006210327},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4349541664123535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4324987232685089},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.431199848651886},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.41350215673446655},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4117339253425598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4065796434879303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3397204875946045},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20923304557800293},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16950926184654236},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09373807907104492}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6864018440246582},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.6302494406700134},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6245055198669434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5788285732269287},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5688239932060242},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.5159000158309937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5142499804496765},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46475401520729065},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.46039241552352905},{"id":"https://openalex.org/C127808970","wikidata":"https://www.wikidata.org/wiki/Q385989","display_name":"Bonferroni correction","level":2,"score":0.4399513006210327},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4349541664123535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4324987232685089},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.431199848651886},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.41350215673446655},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4117339253425598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4065796434879303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3397204875946045},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20923304557800293},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16950926184654236},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09373807907104492},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/msp.2007.4286562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2007.4286562","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","raw_type":"journal-article"},{"id":"pmh:oai:fraunhofer.de:N-62046","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-62046.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer ITWM","raw_type":"Journal Article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/213408","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/213408","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"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":24,"referenced_works":["https://openalex.org/W1559573278","https://openalex.org/W1831327525","https://openalex.org/W1976199583","https://openalex.org/W1977648299","https://openalex.org/W2008353574","https://openalex.org/W2015930615","https://openalex.org/W2038201838","https://openalex.org/W2047694274","https://openalex.org/W2051726817","https://openalex.org/W2067707835","https://openalex.org/W2068903499","https://openalex.org/W2074931146","https://openalex.org/W2085525849","https://openalex.org/W2093272448","https://openalex.org/W2104499761","https://openalex.org/W2145456339","https://openalex.org/W2145625942","https://openalex.org/W2329341088","https://openalex.org/W2403340403","https://openalex.org/W2560458561","https://openalex.org/W4206419526","https://openalex.org/W4230173782","https://openalex.org/W4241830588","https://openalex.org/W6633535298"],"related_works":["https://openalex.org/W2313440505","https://openalex.org/W3123744736","https://openalex.org/W1505848319","https://openalex.org/W2137691148","https://openalex.org/W2171953699","https://openalex.org/W4281399881","https://openalex.org/W2905020035","https://openalex.org/W1972980133","https://openalex.org/W3166006430","https://openalex.org/W4281971614"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"have":[4],"derived":[5],"tests":[6],"based":[7],"on":[8,106],"the":[9,26,52,62,70,119,126,140],"wild":[10,71],"bootstrap":[11,72],"that":[12,98],"allow":[13],"checking":[14],"for":[15],"differences":[16],"between":[17,58],"two":[18,91,130],"irregular":[19],"signals":[20,39,66],"observed":[21],"with":[22],"additive":[23],"noise":[24],"where":[25],"latter":[27],"consists":[28],"of":[29,64,90,101,118,129],"independent":[30],"but":[31,145],"not":[32],"necessarily":[33],"identically":[34],"distributed":[35],"random":[36],"variables.":[37],"The":[38,56,80,114],"are":[40,67],"first":[41],"denoised":[42],"by":[43,49,69,76],"kernel":[44],"estimates":[45],"and":[46,60,73,88,103,109,116,142],"then":[47],"compared":[48],"looking":[50],"at":[51],"integrated":[53],"squared":[54],"difference.":[55],"bound":[57],"accepting":[59],"rejecting":[61],"hypothesis":[63],"equal":[65],"determined":[68],"numerically":[74],"calculated":[75],"Monte":[77],"Carlo":[78],"simulation.":[79],"test":[81,120],"is":[82,133],"applied":[83],"to":[84,125],"all":[85,139],"pairwise":[86],"rows":[87],"columns":[89],"images,":[92],"which":[93],"results":[94],"in":[95],"an":[96],"algorithm":[97],"allows":[99],"detection":[100],"defects":[102],"additional":[104],"information":[105],"their":[107],"location":[108],"shape":[110],"surface":[111],"inspection":[112],"problems.":[113],"idea":[115],"theory":[117],"may":[121],"be":[122],"straightforwardly":[123],"extended":[124],"direct":[127],"comparison":[128],"images.":[131],"This":[132],"computationally":[134],"less":[135,148],"expensive":[136],"than":[137],"doing":[138],"row-":[141],"columnwise":[143],"tests,":[144],"it":[146],"provides":[147],"information.":[149]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}