{"id":"https://openalex.org/W2899629000","doi":"https://doi.org/10.1080/03610918.2018.1491988","title":"Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence","display_name":"Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence","publication_year":2018,"publication_date":"2018-11-05","ids":{"openalex":"https://openalex.org/W2899629000","doi":"https://doi.org/10.1080/03610918.2018.1491988","mag":"2899629000"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2018.1491988","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1491988","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/A5005931446","display_name":"Francisco Louzada","orcid":"https://orcid.org/0000-0001-7815-9554"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco Louzada","raw_affiliation_strings":["Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, Brazil;"],"raw_orcid":"https://orcid.org/0000-0001-7815-9554","affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, Brazil;","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052802301","display_name":"Pedro Luiz Ramos","orcid":"https://orcid.org/0000-0002-5387-2457"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Pedro Luiz Ramos","raw_affiliation_strings":["Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, Brazil;"],"raw_orcid":"https://orcid.org/0000-0002-5387-2457","affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, Brazil;","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101798461","display_name":"Paulo H. Ferreira","orcid":"https://orcid.org/0000-0001-6312-6098"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Paulo Henrique Ferreira","raw_affiliation_strings":["Institute of Mathematics and Statistics, Federal University of Bahia, Salvador, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-6312-6098","affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Statistics, Federal University of Bahia, Salvador, Brazil","institution_ids":["https://openalex.org/I126158947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052802301","https://openalex.org/A5101798461"],"corresponding_institution_ids":["https://openalex.org/I126158947","https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":3.3912,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93319756,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"49","issue":"4","first_page":"1024","last_page":"1043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9984999895095825,"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":0.9984999895095825,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9973999857902527,"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.993399977684021,"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/mathematics","display_name":"Mathematics","score":0.7188584804534912},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6363217830657959},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5735694766044617},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5652839541435242},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.559657633304596},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.557357132434845},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5122979879379272},{"id":"https://openalex.org/keywords/m-estimator","display_name":"M-estimator","score":0.4670117497444153},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.4628225266933441},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4423786401748657},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4093591570854187},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.14726915955543518},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11984625458717346},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.11314079165458679}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7188584804534912},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6363217830657959},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5735694766044617},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5652839541435242},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.559657633304596},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.557357132434845},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5122979879379272},{"id":"https://openalex.org/C143791395","wikidata":"https://www.wikidata.org/wiki/Q475208","display_name":"M-estimator","level":3,"score":0.4670117497444153},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.4628225266933441},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4423786401748657},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4093591570854187},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.14726915955543518},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11984625458717346},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.11314079165458679}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2018.1491988","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1491988","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":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1505551852","https://openalex.org/W1898096480","https://openalex.org/W1987224108","https://openalex.org/W1995945562","https://openalex.org/W2023219679","https://openalex.org/W2037069524","https://openalex.org/W2042398408","https://openalex.org/W2045638300","https://openalex.org/W2046262695","https://openalex.org/W2053162146","https://openalex.org/W2068833365","https://openalex.org/W2089848228","https://openalex.org/W2090202999","https://openalex.org/W2090915513","https://openalex.org/W2093067590","https://openalex.org/W2112345887","https://openalex.org/W2159971383","https://openalex.org/W2370368797","https://openalex.org/W2428472680","https://openalex.org/W2467305554","https://openalex.org/W2503850780","https://openalex.org/W2526753919","https://openalex.org/W2562020924","https://openalex.org/W2565157236","https://openalex.org/W2582743722","https://openalex.org/W2963342587","https://openalex.org/W2963556474","https://openalex.org/W3015317271","https://openalex.org/W3023928735","https://openalex.org/W4252578268","https://openalex.org/W4256170606"],"related_works":["https://openalex.org/W2022599030","https://openalex.org/W1997867537","https://openalex.org/W88728093","https://openalex.org/W2064951806","https://openalex.org/W2295026479","https://openalex.org/W2588985431","https://openalex.org/W773704376","https://openalex.org/W2321754245","https://openalex.org/W3169808441","https://openalex.org/W2065209812"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"different":[3],"frequentist":[4],"estimation":[5],"procedures":[6,68],"for":[7],"the":[8,11,18,56,95],"parameters":[9],"of":[10,22,31,97],"exponential-Poisson":[12],"distribution":[13],"are":[14],"considered,":[15],"such":[16],"as":[17],"maximum":[19,29,37,57],"likelihood,":[20],"method":[21],"moments,":[23],"ordinary":[24],"and":[25,35,73,91],"weighted":[26],"least-squares,":[27],"percentile,":[28],"product":[30],"spacings,":[32],"Cram\u00e9r-von":[33],"Mises":[34],"Anderson-Darling":[36],"goodness-of-fit":[38],"estimators.":[39],"We":[40],"compare":[41],"them":[42],"using":[43,50,85],"extensive":[44],"numerical":[45,67],"simulations,":[46],"which":[47],"show":[48],"that":[49],"a":[51],"nested":[52],"expectation-maximization":[53],"algorithm":[54],"in":[55],"likelihood":[58],"estimators":[59],"with":[60,94],"bootstrap":[61],"bias":[62],"correction":[63],"does":[64],"not":[65],"require":[66],"to":[69],"solve":[70],"nonlinear":[71],"equations":[72],"returns":[74],"accurate":[75],"parameter":[76],"estimates.":[77],"Finally,":[78],"our":[79],"proposed":[80],"methodology":[81],"is":[82],"fully":[83],"illustrated":[84],"two":[86],"real":[87],"data":[88],"sets":[89],"(rainfall":[90],"aircraft":[92],"data)":[93],"occurrence":[96],"zero":[98],"values.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-11-16T00:00:00"}