{"id":"https://openalex.org/W160428189","doi":null,"title":"Some Advances in Permutation Testing","display_name":"Some Advances in Permutation Testing","publication_year":2011,"publication_date":"2011-12-12","ids":{"openalex":"https://openalex.org/W160428189","mag":"160428189"},"language":"en","primary_location":{"id":"mag:160428189","doi":null,"is_oa":false,"landing_page_url":"http://paduaresearch.cab.unipd.it/4323/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"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/A5035956626","display_name":"Monjed Hisham Samuh","orcid":"https://orcid.org/0000-0002-6779-5632","observed_orcids":["https://orcid.org/0000-0002-6779-5632"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Monjed H. Samuh","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6779-5632","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5035956626"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":94},"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/T13500","display_name":"Probability and Statistical Research","score":0.5835000276565552,"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/T13500","display_name":"Probability and Statistical Research","score":0.5835000276565552,"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/T10136","display_name":"Statistical Methods and Inference","score":0.08020000159740448,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.05339999869465828,"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/permutation-tests","display_name":"permutation tests","score":0.9929999709129333},{"id":"https://openalex.org/keywords/sample-size-calculation","display_name":"sample size determination","score":0.9919999837875366},{"id":"https://openalex.org/keywords/sample-size-adjustment","display_name":"sample size adjustment","score":0.9229999780654907},{"id":"https://openalex.org/keywords/ranked-set-sampling","display_name":"ranked set sampling","score":0.9980000257492065},{"id":"https://openalex.org/keywords/statistical-power","display_name":"statistical power","score":0.5210000276565552},{"id":"https://openalex.org/keywords/random-intercept-models","display_name":"random intercept model","score":0.6890000104904175},{"id":"https://openalex.org/keywords/linear-mixed-models","display_name":"linear mixed models","score":0.8820000290870667},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.824999988079071},{"id":"https://openalex.org/keywords/adjusted-rand-index","display_name":"adjusted Rand index","score":0.9200000166893005}],"concepts":[{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.7846845388412476},{"id":"https://openalex.org/C200985842","wikidata":"https://www.wikidata.org/wiki/Q3375503","display_name":"Random permutation","level":3,"score":0.7476720809936523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7112658023834229},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.639055073261261},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.624904215335846},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5883179903030396},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5636268258094788},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5404151082038879},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.50658118724823},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4425649642944336},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35478928685188293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19508472084999084},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.17559853196144104},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.1024884283542633},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C128622974","wikidata":"https://www.wikidata.org/wiki/Q849512","display_name":"Symmetric group","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:160428189","doi":null,"is_oa":false,"landing_page_url":"http://paduaresearch.cab.unipd.it/4323/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1515242458","https://openalex.org/W1533179050","https://openalex.org/W1953089225","https://openalex.org/W1963531169","https://openalex.org/W1971420616","https://openalex.org/W1971793436","https://openalex.org/W1975650452","https://openalex.org/W1975879668","https://openalex.org/W1978965510","https://openalex.org/W1979813476","https://openalex.org/W1980138847","https://openalex.org/W1981606737","https://openalex.org/W1982340238","https://openalex.org/W1986049907","https://openalex.org/W1988693679","https://openalex.org/W1989492805","https://openalex.org/W1990510254","https://openalex.org/W1995238259","https://openalex.org/W1996775262","https://openalex.org/W1999027478","https://openalex.org/W1999649023","https://openalex.org/W2008408176","https://openalex.org/W2010229978","https://openalex.org/W2013280250","https://openalex.org/W2014686430","https://openalex.org/W2015764016","https://openalex.org/W2016120732","https://openalex.org/W2018693763","https://openalex.org/W2019808127","https://openalex.org/W2020686607","https://openalex.org/W2026873715","https://openalex.org/W2030644393","https://openalex.org/W2033403400","https://openalex.org/W2046076301","https://openalex.org/W2046351379","https://openalex.org/W2046931169","https://openalex.org/W2053154970","https://openalex.org/W2058893223","https://openalex.org/W2063950637","https://openalex.org/W2067376384","https://openalex.org/W2077474847","https://openalex.org/W2090634555","https://openalex.org/W2095787901","https://openalex.org/W2097645701","https://openalex.org/W2097879961","https://openalex.org/W2101712836","https://openalex.org/W2109056439","https://openalex.org/W2133173000","https://openalex.org/W2136634361","https://openalex.org/W2140889964","https://openalex.org/W2141729166","https://openalex.org/W2148527884","https://openalex.org/W2158409134","https://openalex.org/W2164497202","https://openalex.org/W2166649501","https://openalex.org/W2167971939","https://openalex.org/W2169490875","https://openalex.org/W2171980444","https://openalex.org/W2324392187","https://openalex.org/W2504845701","https://openalex.org/W2745750801","https://openalex.org/W2903825987","https://openalex.org/W2904483998"],"related_works":["https://openalex.org/W2793243715","https://openalex.org/W2783582888","https://openalex.org/W2045233874","https://openalex.org/W2322210597","https://openalex.org/W3032995341","https://openalex.org/W122214027","https://openalex.org/W391257404","https://openalex.org/W2906350109","https://openalex.org/W2890123058","https://openalex.org/W1488692668"],"abstract_inverted_index":{"The":[0,43,96,118,241,307,322,342],"main":[1],"objective":[2],"of":[3,18,32,35,45,59,98,105,120,155,161,163,183,201,250,264,300,302,338,361,364],"this":[4],"Ph.D":[5],"thesis":[6,22],"is":[7,23,54,72,108,113,125,135,144,167,170,231,236,253,272,291,311,325,345,356],"to":[8,276],"provide":[9],"some":[10],"advances":[11],"in":[12,209,288,359],"permutation":[13,36,69,88,106,111,123,207,229,243,270,286,349],"testing":[14,318],"within":[15,67,335],"different":[16,199],"fields":[17],"statistics.":[19],"Mainly,":[20],"the":[21,29,57,68,75,103,121,138,153,156,173,177,181,246,257,268,273,328,332,348],"divided":[24],"into":[25],"four":[26],"parts.\r\n\r\n":[27],"First,":[28],"two":[30,187,298],"notions":[31,58],"power":[33,48,104,119,174],"function":[34,49],"tests":[37,89,107,208,216,259,287],"(conditional":[38],"and":[39,62,77,130,159,196,204,226,252],"unconditional)":[40],"are":[41,65,80,94,190,213,224,305,320,340],"reviewed.":[42],"use":[44],"empirical":[46,362],"conditional":[47],"for":[50,83,127,140,148,192,217,294],"sample":[51,84,143,166,195],"size":[52,85,158,179],"estimation":[53],"investigated.":[55,95,214,292],"Then,":[56],"reproducibility":[60,76],"probability":[61,64],"generalizability":[63,78],"defined":[66],"framework.":[70],"It":[71,134,169],"shown":[73,136,171],"that":[74,137,172],"probabilities":[79],"important":[81],"tools":[82],"adjustment.\r\n\r\n":[86],"Second,":[87],"with":[90],"ranked":[91,99,128,141,164,193],"set":[92,100,129,142,157,165,178,194,337],"sampling":[93,101],"effectiveness":[97,154],"on":[102,261,327,347],"studied.":[109,168],"Two-sample":[110],"test":[112,124,139,188,230,244,271,283,315],"considered":[114,237],"as":[115,238,313],"a":[116,218,227,239,262,303,314],"guide.":[117,240],"two-sample":[122],"computed":[126],"simple":[131,149],"random":[132,150,220,295],"samples.":[133],"more":[145,254],"powerful":[146,255],"than":[147,256],"sample.":[151],"Moreover,":[152,267],"number":[160,182],"cycles":[162],"increased":[175],"by":[176],"and/or":[180],"cycles.":[184],"In":[185],"addition,":[186],"statistics":[189],"proposed":[191,242,269,312,354],"investigated":[197],"under":[198],"kind":[200],"distributions":[202],"(symmetric":[203],"asymmetric).\r\n\r\n":[205],"Third,":[206],"linear":[210],"mixed":[211],"model":[212,235],"Some":[215],"zero":[219],"effect":[221],"variance":[222],"component":[223],"reviewed":[225],"new":[228],"proposed.":[232,321],"Random":[233],"intercept":[234],"has":[245],"correct":[247],"nominal":[248],"level":[249,363],"significance":[251],"usual":[258],"based":[260,326,346],"mixture":[263],"chi-square":[265,329],"distributions.":[266],"fastest,":[274],"according":[275],"computing":[277],"time,":[278],"approach":[279],"among":[280],"those":[281],"resampling-based":[282],"approaches.\r\n\r\n":[284],"Finally,":[285],"cluster":[289,333],"analysis":[290],"Tests":[293],"agreement":[296],"between":[297,352],"sets":[299],"clusters":[301,339],"dataset":[304],"discussed.":[306],"adjusted":[308],"Rand":[309],"index":[310],"statistic.":[316],"Two":[317],"methods":[319,355],"first":[323],"method":[324,344],"distribution":[330],"assuming":[331],"sizes":[334],"each":[336],"equal.":[341],"second":[343],"approach.":[350],"Comparison":[351],"these":[353],"carried":[357],"out":[358],"terms":[360],"significance.":[365]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
