{"id":"https://openalex.org/W4285389760","doi":"https://doi.org/10.1080/03610918.2022.2098976","title":"Measure of predictability of a stationary two dimensionally indexed autoregressive moving-average models","display_name":"Measure of predictability of a stationary two dimensionally indexed autoregressive moving-average models","publication_year":2022,"publication_date":"2022-07-14","ids":{"openalex":"https://openalex.org/W4285389760","doi":"https://doi.org/10.1080/03610918.2022.2098976"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2098976","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2098976","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/A5062886203","display_name":"Amel Saidi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159538","display_name":"Mouloud Mammeri University of Tizi-Ouzou","ror":"https://ror.org/050ktqq97","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210159538"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Amel Saidi","raw_affiliation_strings":["Laboratoire de Math\u00e9matiques Pures et Appliqu\u00e9es, Mouloud Mammeri University of Tizi-Ouzou, Tizi-Ouzou, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de Math\u00e9matiques Pures et Appliqu\u00e9es, Mouloud Mammeri University of Tizi-Ouzou, Tizi-Ouzou, Algeria","institution_ids":["https://openalex.org/I4210159538"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037070706","display_name":"Abdelghani Hamaz","orcid":"https://orcid.org/0000-0002-6630-0917"},"institutions":[{"id":"https://openalex.org/I4210159538","display_name":"Mouloud Mammeri University of Tizi-Ouzou","ror":"https://ror.org/050ktqq97","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210159538"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Abdelghani Hamaz","raw_affiliation_strings":["Laboratoire de Math\u00e9matiques Pures et Appliqu\u00e9es, Mouloud Mammeri University of Tizi-Ouzou, Tizi-Ouzou, Algeria"],"raw_orcid":"https://orcid.org/0000-0002-6630-0917","affiliations":[{"raw_affiliation_string":"Laboratoire de Math\u00e9matiques Pures et Appliqu\u00e9es, Mouloud Mammeri University of Tizi-Ouzou, Tizi-Ouzou, Algeria","institution_ids":["https://openalex.org/I4210159538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048242158","display_name":"Mohamed Ibazizen","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I4210155549","display_name":"Laboratoire de Math\u00e9matiques Blaise Pascal","ror":"https://ror.org/05sd5r855","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I4210141950","https://openalex.org/I4210155549"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Ibazizen","raw_affiliation_strings":["Laboratoire de Math\u00e9matiques et Applications, University of Poitiers, Poitiers, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de Math\u00e9matiques et Applications, University of Poitiers, Poitiers, France","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I4210155549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037070706"],"corresponding_institution_ids":["https://openalex.org/I4210159538"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08178706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"53","issue":"7","first_page":"3170","last_page":"3185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9879000186920166,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9879000186920166,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9810000061988831,"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"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/predictability","display_name":"Predictability","score":0.9681150913238525},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.8437941074371338},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7304329872131348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5925010442733765},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.5738428235054016},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4935263395309448},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.467276930809021},{"id":"https://openalex.org/keywords/moving-average","display_name":"Moving average","score":0.4578818380832672},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4505772888660431},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.42371371388435364},{"id":"https://openalex.org/keywords/carry","display_name":"Carry (investment)","score":0.4236010015010834},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.41728633642196655},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4153093695640564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36638736724853516},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3637879490852356},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.3052504062652588},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09790375828742981},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.06747597455978394}],"concepts":[{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.9681150913238525},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8437941074371338},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7304329872131348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5925010442733765},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.5738428235054016},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4935263395309448},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.467276930809021},{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.4578818380832672},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4505772888660431},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.42371371388435364},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.4236010015010834},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.41728633642196655},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4153093695640564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36638736724853516},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3637879490852356},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3052504062652588},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09790375828742981},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.06747597455978394},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03610918.2022.2098976","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2098976","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"},{"id":"pmh:oai:HAL:hal-05654365v1","is_oa":false,"landing_page_url":"https://univ-poitiers.hal.science/hal-05654365","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Communications in Statistics - Simulation and Computation, 2022, 53 (7), pp.3170-3185. ⟨10.1080/03610918.2022.2098976⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1603407289","https://openalex.org/W1972005059","https://openalex.org/W1975177545","https://openalex.org/W2044690869","https://openalex.org/W2057931084","https://openalex.org/W2060584634","https://openalex.org/W2069124119","https://openalex.org/W2093247252","https://openalex.org/W2496675188","https://openalex.org/W2738468435","https://openalex.org/W2899250805","https://openalex.org/W2952744180"],"related_works":["https://openalex.org/W2746349969","https://openalex.org/W4239643201","https://openalex.org/W81705085","https://openalex.org/W2185837235","https://openalex.org/W2493781029","https://openalex.org/W2085582903","https://openalex.org/W2186383081","https://openalex.org/W2382528315","https://openalex.org/W2088675580","https://openalex.org/W2015900095"],"abstract_inverted_index":{"In":[0],"this":[1,25],"article,":[2],"we":[3,30,63],"consider":[4],"a":[5,10,14,32,65,72],"measure":[6],"of":[7,9,24,34,48,51,74,88],"predictability":[8,36],"random":[11],"field":[12],"following":[13],"stationary":[15],"two-dimensionally":[16],"indexed":[17],"autoregressive":[18,59],"moving-average":[19],"(2-D":[20],"ARMA).":[21],"The":[22],"purpose":[23],"article":[26],"is":[27,80,91],"two-fold.":[28],"First,":[29],"give":[31],"characterization":[33],"equal":[35,75],"processes":[37],"by":[38],"providing":[39],"necessary":[40],"and":[41,56,82],"sufficient":[42],"conditions,":[43],"which":[44],"highlight":[45],"the":[46,49,52,57],"role":[47],"coefficients":[50],"moving":[53],"average":[54],"(MA)":[55],"equivalent":[58],"(EAR)":[60],"representations.":[61],"Second,":[62],"implement":[64],"procedure":[66],"allowing":[67],"us":[68],"to":[69,85],"carry":[70],"out":[71],"test":[73],"predictability.":[76],"A":[77],"simulation":[78],"study":[79],"presented":[81],"an":[83],"application":[84],"real":[86],"data":[87],"wheat":[89],"yield":[90],"reported.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}