We used the model proposed by Umbach and Weinberg (1997) to devise a hierarchical procedure using log-linear models to estimate genetic effects and the effects of gene–age interaction and to ...

In this chapter, we propose a log-linear model for the biases observed when analyzing model communities data. Our model expands the recent work from McLaren, Willis and Callahan (MWC) [eLife, 8:e46923 ...

Two linear models with error structure of the nested type are considered. Transformations are presented by which uncorrelated errors with constant variances are ...

The first log-linear model (LGL1) underestimates the portfolio level PD significantly. All log-linear models (LGL1, LGL2 and EXP-CDF) underestimate the ECL significantly.

Recent literature contains several expositions of the log-linear modeling (LLM) capability of analyzing multiway contingency tables. This method has been proposed as a way of overcoming the ...

In this article, we consider semiparametric estimation in a partially linear single-index panel data model with fixed effects. Without taking the difference explicitly, we propose using a ...