{"id":"https://openalex.org/W2183606448","doi":"https://doi.org/10.1109/idaacs.2015.7340717","title":"Processing of the random observations with Flatten — Gaussian distribution by approximate order statistics method","display_name":"Processing of the random observations with Flatten — Gaussian distribution by approximate order statistics method","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2183606448","doi":"https://doi.org/10.1109/idaacs.2015.7340717","mag":"2183606448"},"language":"en","primary_location":{"id":"doi:10.1109/idaacs.2015.7340717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2015.7340717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","raw_type":"proceedings-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/A5075434570","display_name":"M. Dorozhovets","orcid":"https://orcid.org/0000-0001-6493-3270"},"institutions":[{"id":"https://openalex.org/I111664937","display_name":"Rzesz\u00f3w University of Technology","ror":"https://ror.org/056xse072","country_code":"PL","type":"education","lineage":["https://openalex.org/I111664937"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Mykhaylo Dorozhovets","raw_affiliation_strings":["Rzeszow University of Technology, Rzeszow, Poland"],"affiliations":[{"raw_affiliation_string":"Rzeszow University of Technology, Rzeszow, Poland","institution_ids":["https://openalex.org/I111664937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113702578","display_name":"Ivanna Popovych","orcid":null},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Ivanna Popovych","raw_affiliation_strings":["Lviv National Polytechnic University, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Lviv National Polytechnic University, Lviv, Ukraine","institution_ids":["https://openalex.org/I98435010"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075434570"],"corresponding_institution_ids":["https://openalex.org/I111664937"],"apc_list":null,"apc_paid":null,"fwci":1.2692,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87697519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"45","issue":null,"first_page":"149","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13244","display_name":"Analysis of environmental and stochastic processes","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13244","display_name":"Analysis of environmental and stochastic processes","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9861999750137329,"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/T13732","display_name":"Aerospace, Electronics, Mathematical Modeling","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6862803101539612},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.6131322383880615},{"id":"https://openalex.org/keywords/convolution-random-number-generator","display_name":"Convolution random number generator","score":0.5650243163108826},{"id":"https://openalex.org/keywords/order-statistic","display_name":"Order statistic","score":0.5582124590873718},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5212205648422241},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4637129604816437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4470479488372803},{"id":"https://openalex.org/keywords/generalized-normal-distribution","display_name":"Generalized normal distribution","score":0.4238373637199402},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4141228199005127},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4031798839569092},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"Normal distribution","score":0.3917672038078308},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38580507040023804},{"id":"https://openalex.org/keywords/mixture-distribution","display_name":"Mixture distribution","score":0.34051111340522766},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3398265540599823},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33106759190559387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.309180349111557},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2231867015361786},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13738611340522766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09919878840446472}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6862803101539612},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6131322383880615},{"id":"https://openalex.org/C116643974","wikidata":"https://www.wikidata.org/wiki/Q5166606","display_name":"Convolution random number generator","level":4,"score":0.5650243163108826},{"id":"https://openalex.org/C44082924","wikidata":"https://www.wikidata.org/wiki/Q1767128","display_name":"Order statistic","level":2,"score":0.5582124590873718},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5212205648422241},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4637129604816437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4470479488372803},{"id":"https://openalex.org/C171383496","wikidata":"https://www.wikidata.org/wiki/Q2497477","display_name":"Generalized normal distribution","level":3,"score":0.4238373637199402},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4141228199005127},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4031798839569092},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.3917672038078308},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38580507040023804},{"id":"https://openalex.org/C56672385","wikidata":"https://www.wikidata.org/wiki/Q17157111","display_name":"Mixture distribution","level":3,"score":0.34051111340522766},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3398265540599823},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33106759190559387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.309180349111557},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2231867015361786},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13738611340522766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09919878840446472},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idaacs.2015.7340717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2015.7340717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2005016424","https://openalex.org/W2013334117","https://openalex.org/W2151910989","https://openalex.org/W2766798784","https://openalex.org/W2797791043","https://openalex.org/W3140461181","https://openalex.org/W4300185665","https://openalex.org/W4302391531"],"related_works":["https://openalex.org/W1981359679","https://openalex.org/W4313344354","https://openalex.org/W2773879317","https://openalex.org/W4283169561","https://openalex.org/W4254888883","https://openalex.org/W2784077364","https://openalex.org/W2085733248","https://openalex.org/W4212923888","https://openalex.org/W4293214704","https://openalex.org/W4293213689"],"abstract_inverted_index":{"In":[0],"the":[1,3,12,56,60,64,70,99,104,110],"paper":[2],"method":[4,34,57,72],"based":[5,79],"on":[6,80,103],"order":[7],"statistics":[8],"for":[9],"processing":[10],"of":[11,26,40,49,55,63,69,84,95,107,112],"random":[13],"observations":[14],"with":[15,59],"so":[16],"called":[17],"Flatten":[18,87],"-":[19,88],"Gaussian":[20,89],"distribution":[21],"that":[22],"is":[23,31],"a":[24,36,41,46,50,85],"convolution":[25],"rectangular":[27],"and":[28,78,109],"normal":[29],"distributions,":[30],"proposed.":[32],"This":[33],"gives":[35],"smaller":[37],"standard":[38,47,100],"uncertainty":[39,48,101],"location":[42],"parameter":[43],"compared":[44],"to":[45],"mean":[51],"value.":[52],"The":[53,67,92],"efficiency":[54],"increases":[58],"increase":[61],"content":[62,106],"uniform":[65],"component.":[66],"implementation":[68],"proposed":[71],"does":[73],"not":[74],"require":[75],"complicated":[76],"calculations":[77],"an":[81],"analytical":[82],"expression":[83],"normalized":[86],"density":[90],"distribution.":[91],"research":[93],"results":[94],"method,":[96],"which":[97],"are":[98,114],"depending":[102],"relative":[105],"components":[108],"number":[111],"observations,":[113],"presented.":[115]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}