In this study we propose a new method of representing unbiased perceptions of brands. Specifically a likelihood-based model simultaneously disentangles a major class of psychological bias affecting attributebased perceptions, and obtains a dimensionality reduction of the problem, resulting in a two-dimensional map. Extant research, while recognizing the importance of halo effect, has mainly foc...

This work studies implicitly weighted robust statistical methods suitable for econometric problems. We study robust estimation mainly for the context of heteroscedasticity or high dimension, which are up-to-date topics of current econometrics. We describe a modifi cation of linear regression resistant to heteroscedasticity and study its computational aspects. For a robust version of the instrum...