{"id":"https://openalex.org/W2344670266","doi":"https://doi.org/10.1080/03610918.2016.1140777","title":"Smoothing the difference-based estimates of variance using variational mode decomposition","display_name":"Smoothing the difference-based estimates of variance using variational mode decomposition","publication_year":2016,"publication_date":"2016-05-12","ids":{"openalex":"https://openalex.org/W2344670266","doi":"https://doi.org/10.1080/03610918.2016.1140777","mag":"2344670266"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2016.1140777","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2016.1140777","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5042035416","display_name":"T. Palanisamy","orcid":"https://orcid.org/0000-0002-6864-4043"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"T. Palanisamy","raw_affiliation_strings":["Department of Mathematics, Amrita School of Engineering - Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Amrita School of Engineering - Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042035416"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.2721,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67469262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"46","issue":"6","first_page":"4991","last_page":"5001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.996399998664856,"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":0.996399998664856,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9926000237464905,"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/estimator","display_name":"Estimator","score":0.790702223777771},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.7079081535339355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6716764569282532},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6506864428520203},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6244539022445679},{"id":"https://openalex.org/keywords/variance-function","display_name":"Variance function","score":0.5758724212646484},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5679277181625366},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5159686207771301},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5016703605651855},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47137579321861267},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.44456714391708374},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.4400758445262909},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.42828407883644104},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34832513332366943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22741320729255676}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.790702223777771},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.7079081535339355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6716764569282532},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6506864428520203},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6244539022445679},{"id":"https://openalex.org/C120488996","wikidata":"https://www.wikidata.org/wiki/Q17016064","display_name":"Variance function","level":3,"score":0.5758724212646484},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5679277181625366},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5159686207771301},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5016703605651855},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47137579321861267},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.44456714391708374},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.4400758445262909},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.42828407883644104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34832513332366943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22741320729255676},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2016.1140777","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2016.1140777","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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":20,"referenced_works":["https://openalex.org/W170879685","https://openalex.org/W1549918636","https://openalex.org/W1972642748","https://openalex.org/W1976761149","https://openalex.org/W2000982976","https://openalex.org/W2004971874","https://openalex.org/W2028682334","https://openalex.org/W2039970663","https://openalex.org/W2041472063","https://openalex.org/W2078282009","https://openalex.org/W2080679189","https://openalex.org/W2087884045","https://openalex.org/W2090218979","https://openalex.org/W2092185780","https://openalex.org/W2093322389","https://openalex.org/W2111861869","https://openalex.org/W2140286963","https://openalex.org/W2158940042","https://openalex.org/W2587165555","https://openalex.org/W3104993672"],"related_works":["https://openalex.org/W1541412963","https://openalex.org/W2184572292","https://openalex.org/W2111861869","https://openalex.org/W2026556990","https://openalex.org/W1509119367","https://openalex.org/W2380616114","https://openalex.org/W4321367829","https://openalex.org/W4309301076","https://openalex.org/W981653334","https://openalex.org/W2095094294"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,13],"variational":[3,27],"mode":[4,28],"decomposition":[5,29],"approach":[6],"to":[7,31],"estimate":[8],"the":[9,32,41,47,53],"variance":[10,49],"function":[11],"in":[12,52],"nonparametric":[14],"heteroscedastic":[15],"fixed":[16],"design":[17],"regression":[18],"model.":[19],"A":[20],"data-driven":[21],"estimator":[22,43],"is":[23],"constructed":[24],"by":[25],"applying":[26],"technique":[30],"difference-based":[33],"initial":[34],"estimates.":[35],"The":[36],"numerical":[37],"results":[38],"show":[39],"that":[40],"proposed":[42],"performs":[44],"better":[45],"than":[46],"existing":[48],"estimation":[50],"procedures":[51],"mean":[54],"square":[55],"sense.":[56]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
