Importance of non-parametric density estimation in econometrics with illustrations
T. Krishna Kumar; Joseph M. Markmann
| Year of publication: |
2011
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|---|---|
| Authors: | Kumar, T. Krishna ; Markmann, Joseph M. |
| Published in: |
Journal of quantitative economics : official journal of the Indian Econometric Society. - Dordrecht : Springer Science + Business Media, ISSN 0971-1554, ZDB-ID 1235170-2. - Vol. 9.2011, 1, p. 18-40
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| Subject: | Kernel density | Non-parametric inference | empirical likelihood | nonlinear least squares estimators | hypotheses testing in nonparametric case | empirical analogue of Rao's score | Schätztheorie | Estimation theory | Nichtparametrisches Verfahren | Nonparametric statistics | Schätzung | Estimation | Ökonometrie | Econometrics | Statistische Verteilung | Statistical distribution | Induktive Statistik | Statistical inference |
| Extent: | graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10010337923