Prediction of 0–1-Events for Short- and Long-memory Time Series
Lade...
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2002
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Sammelband
Publikationsstatus
Published
Erschienen in
DODGE, Yadolah, ed.. Statistical Data Analysis Based on the L1-Norm and Related Methods. Basel: Birkhäuser Basel, 2002, pp. 139-147. ISBN 978-3-0348-9472-2. Available under: doi: 10.1007/978-3-0348-8201-9_11
Zusammenfassung
The problem of predicting 0–1-events is considered under general conditions, including stationary processes with short and long memory as well as processes with changing distribution patterns. Nonparametric estimates of the probability function and prediction intervals are obtained.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
310 Statistik
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
BERAN, Jan, 2002. Prediction of 0–1-Events for Short- and Long-memory Time Series. In: DODGE, Yadolah, ed.. Statistical Data Analysis Based on the L1-Norm and Related Methods. Basel: Birkhäuser Basel, 2002, pp. 139-147. ISBN 978-3-0348-9472-2. Available under: doi: 10.1007/978-3-0348-8201-9_11BibTex
@incollection{Beran2002Predi-27590, year={2002}, doi={10.1007/978-3-0348-8201-9_11}, title={Prediction of 0–1-Events for Short- and Long-memory Time Series}, isbn={978-3-0348-9472-2}, publisher={Birkhäuser Basel}, address={Basel}, booktitle={Statistical Data Analysis Based on the L1-Norm and Related Methods}, pages={139--147}, editor={Dodge, Yadolah}, author={Beran, Jan} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/27590"> <dc:contributor>Beran, Jan</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-07-23T09:26:44Z</dcterms:available> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/39"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/39"/> <dcterms:bibliographicCitation>Statistical Data Analysis Based on the L1-Norm and Related Methods / Yadolah Dodge (ed.). - Basel : Birkhäuser Basel, 2002. - S. 139-147. - (Statistics for Industry and Technology). - ISBN 978-3-0348-8201-9</dcterms:bibliographicCitation> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:rights>terms-of-use</dc:rights> <dc:creator>Beran, Jan</dc:creator> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/27590"/> <dcterms:abstract xml:lang="eng">The problem of predicting 0–1-events is considered under general conditions, including stationary processes with short and long memory as well as processes with changing distribution patterns. Nonparametric estimates of the probability function and prediction intervals are obtained.</dcterms:abstract> <dcterms:title>Prediction of 0–1-Events for Short- and Long-memory Time Series</dcterms:title> <dcterms:issued>2002</dcterms:issued> <dc:language>eng</dc:language> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-07-23T09:26:44Z</dc:date> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein