Arbeitspapier
(Non) Linear Regression Modeling
We will study causal relationships of a known form between random variables. Given a model, we distinguish one or more dependent (endogenous) variables Y = (Y1, . . . , Yl), l ∈ N, which are explained by a model, and independent (exogenous, explanatory) variables X = (X1, . . . ,Xp), p ∈ N, which explain or predict the dependent variables by means of the model. Such relationships and models are commonly referred to as regression models.
- Sprache
-
Englisch
- Erschienen in
-
Series: Papers ; No. 2004,11
- Klassifikation
-
Wirtschaft
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Čížek, Pavel
- Ereignis
-
Veröffentlichung
- (wer)
-
Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE)
- (wo)
-
Berlin
- (wann)
-
2004
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Čížek, Pavel
- Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE)
Entstanden
- 2004
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