A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes
Year of publication: |
2016
|
---|---|
Authors: | Weidenhammer, Beate ; Schmid, Timo ; Salvati, Nicola ; Tzavidis, Nikos |
Publisher: |
Berlin : Freie Universität Berlin, Fachbereich Wirtschaftswissenschaft |
Subject: | Asymmetric Laplace Distribution | generalized linear mixed model | jittering | non-parametric | estimation | small area estimation |
Series: | Diskussionsbeiträge ; 2016/12 |
---|---|
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 862689864 [GVK] hdl:10419/142687 [Handle] RePEc:zbw:fubsbe:201612 [RePEc] |
Source: |
-
Weidenhammer, Beate, (2016)
-
Kernel-smoothed conditional quantiles of correlated bivariate discrete data
Gooijer, Jan G. de, (2011)
-
Risk margin quantile function via parametric and non-parametric Bayesian approaches
Dong, Alice X. D., (2015)
- More ...
-
Weidenhammer, Beate, (2016)
-
Borgini, Riccardo, (2015)
-
Borgini, Riccardo, (2015)
- More ...