Academic Journal
Unusual-event processes for count data
| Title: | Unusual-event processes for count data |
|---|---|
| Authors: | Skulpakdee, Wanrudee, Hunkrajok, Mongkol |
| Source: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona SORT-Statistics and Operations Research Transactions; Vol. 46, Núm. 1 (2022); 39-66 SORT-Statistics and Operations Research Transactions; 2022: Vol.: 46 Núm.: 1 January-June; 39-66 oai:raco.cat:article/401117 Repositori Institucional de la Universitat Rovira i Virgili Universitat Rovira i virgili (URV) |
| Publisher Information: | Institut d'Estadística de Catalunya, 2022. |
| Publication Year: | 2022 |
| Subject Terms: | Classificació AMS::62 Statistics::62J Linear inference, Weibull count model, 62J Inferència lineal, regressió, Classificació AMS::62 Statistics::62J Linear inference, regression, Classificació AMS::62 Statistics::62P Applications, Gamma count model, Mathematical statistics, Regression analysis, Conway-Maxwell-Poisson count model, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Classificació AMS::62 Statistics::62M Inference from stochastic processes, Faddy count model, regression, Poisson count model, regressió, 62J Inferència lineal, 62P Aplicacions, 62M Inferència dels processos estocàstics |
| Description: | At least one unusual event appears in some count datasets. It will lead to a more concentrated (or dispersed) distribution than the Poisson, gamma, Weibull, Conway-Maxwell-Poisson (CMP), and Faddy (1997) models can accommodate. These well-known count models are based on the monotonic rates of interarrival times between successive events. Under the assumption of non-monotonic rates and independent exponential interarrival times, a new class of parametric models for unusual-event (UE) count data is proposed. These models are applied to two empirical applications, the number of births and the number of bids, and yield considerably better results to the above well-known count models. |
| Document Type: | Article |
| File Description: | application/pdf; application/zip |
| Language: | English |
| DOI: | 10.2436/20.8080.02.117 |
| Access URL: | http://hdl.handle.net/20.500.11797/RP4886 https://ddd.uab.cat/record/264543 https://hdl.handle.net/2117/397827 https://doi.org/10.2436/20.8080.02.117 |
| Rights: | CC BY NC ND |
| Accession Number: | edsair.dedup.wf.002..9a064ba6c5ab030cbe80296d7513e4d1 |
| Database: | OpenAIRE |
Be the first to leave a comment!