{"id":"https://openalex.org/W4385655291","doi":"https://doi.org/10.3390/sym15081552","title":"Theoretical Aspects for Bayesian Predictions Based on Three-Parameter Burr-XII Distribution and Its Applications in Climatic Data","display_name":"Theoretical Aspects for Bayesian Predictions Based on Three-Parameter Burr-XII Distribution and Its Applications in Climatic Data","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4385655291","doi":"https://doi.org/10.3390/sym15081552"},"language":"en","primary_location":{"id":"doi:10.3390/sym15081552","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15081552","pdf_url":"https://www.mdpi.com/2073-8994/15/8/1552/pdf?version=1691466951","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/8/1552/pdf?version=1691466951","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074353523","display_name":"Mustafa M. Hasaballah","orcid":"https://orcid.org/0000-0001-7680-6762"},"institutions":[{"id":"https://openalex.org/I4210120363","display_name":"Higher Institute of Engineering","ror":"https://ror.org/02pyw9g57","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210120363"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Mustafa M. Hasaballah","raw_affiliation_strings":["Marg Higher Institute for Engineering and Modern Technology, Cairo 11511, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-7680-6762","affiliations":[{"raw_affiliation_string":"Marg Higher Institute for Engineering and Modern Technology, Cairo 11511, Egypt","institution_ids":["https://openalex.org/I4210120363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037266448","display_name":"Abdulhakim A. Al-Babtain","orcid":"https://orcid.org/0000-0003-2189-2629"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdulhakim A. Al-Babtain","raw_affiliation_strings":["Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-2189-2629","affiliations":[{"raw_affiliation_string":"Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013520964","display_name":"Md. Moyazzem Hossain","orcid":"https://orcid.org/0000-0003-3593-6936"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Md. Moyazzem Hossain","raw_affiliation_strings":["School of Mathematics, Statistics & Physics, Newcastle University, Newcastle upon Tyne NE1 7RU, UK"],"raw_orcid":"https://orcid.org/0000-0003-3593-6936","affiliations":[{"raw_affiliation_string":"School of Mathematics, Statistics & Physics, Newcastle University, Newcastle upon Tyne NE1 7RU, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069121434","display_name":"M. E. Bakr","orcid":"https://orcid.org/0000-0003-3493-033X"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mahmoud E. Bakr","raw_affiliation_strings":["Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074353523"],"corresponding_institution_ids":["https://openalex.org/I4210120363"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":3.0786,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92544654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"8","first_page":"1552","last_page":"1552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9983000159263611,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9983000159263611,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9977999925613403,"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/outlier","display_name":"Outlier","score":0.6425595283508301},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6387386322021484},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5780462622642517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5362163782119751},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.535557210445404},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.49942803382873535},{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.4705372750759125},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4435952603816986},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4314330518245697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3482658267021179},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3413320481777191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30141687393188477}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6425595283508301},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6387386322021484},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5780462622642517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5362163782119751},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.535557210445404},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.49942803382873535},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.4705372750759125},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4435952603816986},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4314330518245697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3482658267021179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3413320481777191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30141687393188477}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym15081552","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15081552","pdf_url":"https://www.mdpi.com/2073-8994/15/8/1552/pdf?version=1691466951","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0e65911671de437087935f6f507e4f48","is_oa":false,"landing_page_url":"https://doaj.org/article/0e65911671de437087935f6f507e4f48","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 8, p 1552 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/15/8/1552/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym15081552","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym15081552","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15081552","pdf_url":"https://www.mdpi.com/2073-8994/15/8/1552/pdf?version=1691466951","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385655291.pdf","grobid_xml":"https://content.openalex.org/works/W4385655291.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2048509646","https://openalex.org/W2050885995","https://openalex.org/W2055646145","https://openalex.org/W2056760934","https://openalex.org/W2059601166","https://openalex.org/W2070881262","https://openalex.org/W2075046828","https://openalex.org/W2075787795","https://openalex.org/W2084738107","https://openalex.org/W2105084143","https://openalex.org/W2111840974","https://openalex.org/W2164067841","https://openalex.org/W2174776135","https://openalex.org/W2232897565","https://openalex.org/W2396307286","https://openalex.org/W2554239793","https://openalex.org/W2906060311","https://openalex.org/W2998858263","https://openalex.org/W3045940515","https://openalex.org/W4224643006","https://openalex.org/W4238094886","https://openalex.org/W4252391766","https://openalex.org/W4290660565","https://openalex.org/W4308388732","https://openalex.org/W4317754319","https://openalex.org/W6665889921"],"related_works":["https://openalex.org/W3125971950","https://openalex.org/W1580681286","https://openalex.org/W2175355783","https://openalex.org/W2622204791","https://openalex.org/W1579866848","https://openalex.org/W1546022168","https://openalex.org/W2066716418","https://openalex.org/W2905524938","https://openalex.org/W3198356641","https://openalex.org/W2071668645"],"abstract_inverted_index":{"Symmetry":[0,28],"and":[1,64,107,119,167],"asymmetry":[2,42],"play":[3],"vital":[4],"roles":[5],"in":[6,38,44,53,133],"prediction.":[7],"Symmetrical":[8],"data,":[9,22],"which":[10,23],"follows":[11],"a":[12,25,75,148,159],"predictable":[13,26],"pattern,":[14],"is":[15,162],"easier":[16],"to":[17,20,140,152,165],"predict":[18],"compared":[19],"asymmetrical":[21],"lacks":[24],"pattern.":[27],"helps":[29],"identify":[30],"patterns":[31],"within":[32],"data":[33,90,150],"that":[34,49,178],"can":[35],"be":[36,51],"utilized":[37],"predictive":[39,55,143],"models,":[40],"while":[41],"aids":[43],"identifying":[45],"outliers":[46],"or":[47],"anomalies":[48],"should":[50],"considered":[52],"the":[54,58,92,126,129,134,154,169,172,179,183,186],"model.":[56],"Among":[57],"various":[59],"factors":[60],"associated":[61],"with":[62],"storms":[63],"their":[65],"impact":[66],"on":[67,81],"surface":[68],"temperatures,":[69],"wind":[70,83],"speed":[71,84],"stands":[72],"out":[73,164],"as":[74],"significant":[76],"factor.":[77],"This":[78],"paper":[79],"focuses":[80],"predicting":[82],"by":[85],"utilizing":[86],"unified":[87],"hybrid":[88],"censoring":[89],"from":[91],"three-parameter":[93],"Burr-XII":[94],"distribution.":[95],"Bayesian":[96,115],"prediction":[97,109],"bounds":[98],"for":[99,114,182],"future":[100],"observations":[101],"are":[102,122],"obtained":[103],"using":[104],"both":[105],"one-sample":[106],"two-sample":[108],"techniques.":[110],"As":[111],"explicit":[112],"expressions":[113],"predictions":[116],"of":[117,128,171],"one":[118],"two":[120],"samples":[121],"unavailable,":[123],"we":[124,146],"propose":[125],"use":[127],"Gibbs":[130],"sampling":[131],"process":[132],"Markov":[135],"chain":[136],"Monte":[137],"Carlo":[138],"framework":[139],"obtain":[141],"estimated":[142],"distributions.":[144],"Furthermore,":[145],"present":[147],"climatic":[149],"application":[151],"demonstrate":[153],"developed":[155],"uncertainty":[156],"procedures.":[157],"Additionally,":[158],"simulation":[160],"research":[161],"carried":[163],"examine":[166],"contrast":[168],"effectiveness":[170],"suggested":[173],"methods.":[174],"The":[175],"results":[176],"reveal":[177],"Bayes":[180],"estimates":[181],"parameters":[184],"outperformed":[185],"Maximum":[187],"likelihood":[188],"estimators.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}