{"id":"https://openalex.org/W2963627031","doi":"https://doi.org/10.3233/mas-190463","title":"The STNRW-ECF estimator for stable distributions with application in ECG beat","display_name":"The STNRW-ECF estimator for stable distributions with application in ECG beat","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2963627031","doi":"https://doi.org/10.3233/mas-190463","mag":"2963627031"},"language":"en","primary_location":{"id":"doi:10.3233/mas-190463","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-190463","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","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/A5030152176","display_name":"Raquel Romes Linhares","orcid":"https://orcid.org/0000-0002-2856-2078"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Raquel Romes Linhares","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5030152176"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06553894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"3","first_page":"227","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9810000061988831,"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"}},{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/estimator","display_name":"Estimator","score":0.8311898708343506},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5551493167877197},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5042990446090698},{"id":"https://openalex.org/keywords/shrinkage-estimator","display_name":"Shrinkage estimator","score":0.5010547637939453},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46613141894340515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4530980885028839},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4408063292503357},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"Asymptotic distribution","score":0.4391384422779083},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.43804532289505005},{"id":"https://openalex.org/keywords/stable-distribution","display_name":"Stable distribution","score":0.43373364210128784},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.4174976050853729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4104894995689392},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.328323096036911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23955467343330383},{"id":"https://openalex.org/keywords/efficient-estimator","display_name":"Efficient estimator","score":0.22173014283180237},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.18931081891059875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08726698160171509},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08180767297744751}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8311898708343506},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5551493167877197},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5042990446090698},{"id":"https://openalex.org/C102592046","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage estimator","level":5,"score":0.5010547637939453},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46613141894340515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4530980885028839},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4408063292503357},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.4391384422779083},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43804532289505005},{"id":"https://openalex.org/C147061848","wikidata":"https://www.wikidata.org/wiki/Q1934245","display_name":"Stable distribution","level":2,"score":0.43373364210128784},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4174976050853729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4104894995689392},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.328323096036911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23955467343330383},{"id":"https://openalex.org/C35594927","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficient estimator","level":4,"score":0.22173014283180237},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.18931081891059875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08726698160171509},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08180767297744751},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/mas-190463","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-190463","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W191129667","https://openalex.org/W1498464051","https://openalex.org/W1974797828","https://openalex.org/W1990559054","https://openalex.org/W1997321852","https://openalex.org/W2042433090","https://openalex.org/W2061575983","https://openalex.org/W2079724595","https://openalex.org/W2143304716","https://openalex.org/W2158940042","https://openalex.org/W2160980005","https://openalex.org/W2254530155","https://openalex.org/W2484581833","https://openalex.org/W2536845857","https://openalex.org/W2610244702","https://openalex.org/W2738501362","https://openalex.org/W2757517699","https://openalex.org/W2764744945","https://openalex.org/W2768475449","https://openalex.org/W2917944382","https://openalex.org/W3124075218","https://openalex.org/W4295332281","https://openalex.org/W7081430716"],"related_works":["https://openalex.org/W747394405","https://openalex.org/W1987236514","https://openalex.org/W174653542","https://openalex.org/W2381153750","https://openalex.org/W2088220880","https://openalex.org/W2041235277","https://openalex.org/W3121354342","https://openalex.org/W1925843279","https://openalex.org/W2951873296","https://openalex.org/W2081847407"],"abstract_inverted_index":{"The":[0],"\u03b1":[1,27],"-stable":[2],"distribution":[3],"can":[4],"describe":[5],"a":[6],"degree":[7],"of":[8,10,22],"concentration":[9],"the":[11,14,26,31,36],"observations":[12],"around":[13],"mean":[15],"as":[16,18],"well":[17],"their":[19],"asymmetry,":[20],"regardless":[21],"sample":[23],"size.":[24],"As":[25],"stability":[28],"index":[29],"is":[30],"most":[32],"interesting":[33],"parameter":[34],"in":[35],"applications,":[37],"several":[38],"estim":[39]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}