A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes:
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Hauptverfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin
Freie Universität Berlin
[2016]
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Schriftenreihe: | Discussion paper / Freie Universität Berlin, School of Business & Economics Economics
2016, 12 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 1 Online-Ressource (26 Seiten) Diagramme |
Internformat
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Datensatz im Suchindex
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author | Weidenhammer, Beate Schmid, Timo Salvati, Nicola Tzavidis, Nikos |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T07:31:26Z |
institution | BVB |
language | English |
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publishDate | 2016 |
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publisher | Freie Universität Berlin |
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series2 | Discussion paper / Freie Universität Berlin, School of Business & Economics Economics |
spelling | Weidenhammer, Beate (DE-588)1107609402 aut A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes Beate Weidenhammer, Timo Schmid, Nicola Salvati, and Nikos Tzavidis Berlin Freie Universität Berlin [2016] 1 Online-Ressource (26 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Discussion paper / Freie Universität Berlin, School of Business & Economics 2016, 12 Economics Regressionsmodell (DE-588)4127980-3 gnd rswk-swf Schätzung (DE-588)4193791-0 gnd rswk-swf Potenzialanalyse (DE-588)4229979-2 gnd rswk-swf Wahrscheinlichkeitsverteilung (DE-588)4121894-2 gnd rswk-swf Regressionsmodell (DE-588)4127980-3 s Wahrscheinlichkeitsverteilung (DE-588)4121894-2 s Schätzung (DE-588)4193791-0 s Potenzialanalyse (DE-588)4229979-2 s DE-188 Schmid, Timo (DE-588)144020564 aut Salvati, Nicola (DE-588)1196642435 aut Tzavidis, Nikos aut Freie Universität Berlin, School of Business & Economics Discussion paper 2016, 12 : Economics (DE-604)BV026641400 2016,12 https://refubium.fu-berlin.de/handle/fub188/19588 Resolving-System kostenfrei Volltext |
spellingShingle | Weidenhammer, Beate Schmid, Timo Salvati, Nicola Tzavidis, Nikos A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes Regressionsmodell (DE-588)4127980-3 gnd Schätzung (DE-588)4193791-0 gnd Potenzialanalyse (DE-588)4229979-2 gnd Wahrscheinlichkeitsverteilung (DE-588)4121894-2 gnd |
subject_GND | (DE-588)4127980-3 (DE-588)4193791-0 (DE-588)4229979-2 (DE-588)4121894-2 |
title | A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes |
title_auth | A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes |
title_exact_search | A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes |
title_full | A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes Beate Weidenhammer, Timo Schmid, Nicola Salvati, and Nikos Tzavidis |
title_fullStr | A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes Beate Weidenhammer, Timo Schmid, Nicola Salvati, and Nikos Tzavidis |
title_full_unstemmed | A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes Beate Weidenhammer, Timo Schmid, Nicola Salvati, and Nikos Tzavidis |
title_short | A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes |
title_sort | a unit level quantile nested error regression model for domain prediction with continuous and discrete outcomes |
topic | Regressionsmodell (DE-588)4127980-3 gnd Schätzung (DE-588)4193791-0 gnd Potenzialanalyse (DE-588)4229979-2 gnd Wahrscheinlichkeitsverteilung (DE-588)4121894-2 gnd |
topic_facet | Regressionsmodell Schätzung Potenzialanalyse Wahrscheinlichkeitsverteilung |
url | https://refubium.fu-berlin.de/handle/fub188/19588 |
volume_link | (DE-604)BV026641400 |
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