{"doi":"10.2298/tsci20s1069a","title":"Goodness-of-fit tests for the beta Gompertz distribution","abstract":"<jats:p>This article studied the goodness-of-fit tests for the beta Gompertz\n   distribution with four parameters based on a complete sample. The parameters\n   were estimated by the maximum likelihood method. Critical values were found\n   by Monte Carlo simulation for the modified Kolmogorov-Smirnov,\n   Anderson-Darling, Cramer-von Mises, and Lilliefors test statistics. The\n   power of these test statistics founded the optimal alternative distribution.\n   Real data applications were used as examples for the goodness of fit tests.</jats:p>","journal":"Thermal Science","year":2020,"id":21388,"datarank":0.3132480288164915,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"self_citation_contribution":0.24141568686511508,"citation_network_contribution":0.07183234195137639,"self_endowment_contribution":0.24141568686511508,"citer_contribution":0.07183234195137639,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":2,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":137885,"name":"Asmaa Binkhamis","orcid":null,"position":1,"is_corresponding":false},{"id":137884,"name":"Hanaa Abu-Zinadah","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"24259432","pmcid":null,"openalex_id":"https://openalex.org/W3094570586","authors":[],"funders":[],"total_grants":0,"fwci":0.6646,"citation_percentile":0.72837022,"influential_citations":0,"citation_trend":[{"year":2021,"count":1},{"year":2022,"count":1},{"year":2023,"count":1},{"year":2026,"count":1}],"oa_status":"gold","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","oa_locations":[{"url":"https://doi.org/10.2298/tsci20s1069a","host_type":"journal"},{"url":"http://www.doiserbia.nb.rs/ft.aspx?id=0354-983620069A","host_type":"GOLD"},{"url":"https://doi.org/10.2298/tsci20s1069a","host_type":"publisher"},{"url":"https://doaj.org/article/222b85a0484e4b7da47ee8eab1233dca","host_type":"repository"}],"fields_of_study":["Statistical Distribution Estimation and Applications","Statistical Methods and Bayesian Inference","Bayesian Methods and Mixture Models","Mathematics","Physics"],"mesh_terms":[],"keywords":["Goodness of fit","Anderson–Darling test","Statistics","Kolmogorov–Smirnov test","Gompertz function","Mathematics","Monte Carlo method","Statistical hypothesis testing"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-06T15:45:59.609977Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}