Investigating Omitted Variable Bias in Regression Parameter Estimation : A Genetic Algorithm Approach
Year of publication: |
2006
|
---|---|
Authors: | Sessions, David N. ; Stevans, Lonnie K. |
Publisher: |
[S.l.] : SSRN |
Subject: | Schätztheorie | Estimation theory | Evolutionärer Algorithmus | Evolutionary algorithm | Regressionsanalyse | Regression analysis | Systematischer Fehler | Bias |
Description of contents: | Abstract [papers.ssrn.com] |
Extent: | 1 Online-Ressource |
---|---|
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | In: Computational Statistics and Data Analysis, 2006 Volltext nicht verfügbar |
Classification: | C13 - Estimation ; C52 - Model Evaluation and Testing |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Reducing Errors-in-Variables Bias in Linear Regression Using Compact Genetic Algorithms
Diyarbakirlioglu, Erkin, (2020)
-
Generalized ratio-product cum regression variance estimator in two-phase sampling
Muhammad, Isah, (2023)
-
Optimal Bias Robust Regression Psi and Rho Revisited
Konis, Kjell, (2021)
- More ...
-
Stevans, Lonnie K., (2005)
-
The Relationship Between Poverty, Economic Growth, and Inequality Revisited
Stevans, Lonnie K., (2005)
-
Investigating omitted variable bias in regression parameter estimation: A genetic algorithm approach
Sessions, David N., (2006)
- More ...