| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Homburg, Annika | - |
| dc.contributor.author | Weiß, Christian H. | - |
| dc.contributor.author | Alwan, Layth C. | - |
| dc.contributor.author | Frahm, Gabriel | - |
| dc.contributor.author | Göb, Rainer | - |
| dc.date.accessioned | 2020-03-25T10:26:24Z | - |
| dc.date.available | 2020-03-25T10:26:24Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | Enthalten in: Econometrics. - Basel : MDPI, 2013. - Online-Ressource. - Bd. 7.2019, 3/30, insges. 28 S. | - |
| dc.description.abstract | In forecasting count processes, practitioners often ignore the discreteness of counts and compute forecasts based on Gaussian approximations instead. For both central and non-central point forecasts, and for various types of count processes, the performance of such approximate point forecasts is analyzed. The considered data-generating processes include different autoregressive schemes with varying model orders, count models with overdispersion or zero inflation, counts with a bounded range, and counts exhibiting trend or seasonality. We conclude that Gaussian forecast approximations should be avoided. | - |
| dc.description.sponsorship | Quantitative Methoden der Wirtschaftswissenschaften | - |
| dc.description.sponsorship | Angewandte Stochastik und Risikomanagement | - |
| dc.language.iso | eng | - |
| dc.publisher | MDPI | - |
| dc.relation.ispartof | Econometrics | - |
| dc.title | Evaluating Approximate Point Forecasting of Count Processes | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.3390/econometrics7030030 | - |
| dcterms.bibliographicCitation.volume | 7 | - |
| dcterms.bibliographicCitation.issue | 3/30 | - |
| dcterms.bibliographicCitation.originalpublisherplace | Basel | - |
| local.submission.type | only-metadata | - |
| hsu.opac.import | opac-2019 | - |
| hsu.identifier.ppn | 1669531112 | - |
| hsu.peerReviewed | ✅ | - |
| item.grantfulltext | none | - |
| item.languageiso639-1 | en | - |
| item.fulltext_s | No Fulltext | - |
| item.openairetype | Article | - |
| item.fulltext | No Fulltext | - |
| crisitem.author.dept | Quantitative Methoden der Wirtschaftswissenschaften | - |
| crisitem.author.dept | Angewandte Stochastik und Risikomanagement | - |
| crisitem.author.orcid | 0000-0001-7507-730X | - |
| crisitem.author.parentorg | Fakultät für Wirtschafts- und Sozialwissenschaften | - |
| crisitem.author.parentorg | Fakultät für Wirtschafts- und Sozialwissenschaften | - |
| Appears in Collections: | 3 - Publication references (without fulltext) | |
CORE Recommender
User Tools
Items in openHSU are protected by copyright, with all rights reserved, unless otherwise indicated.