Multicollinearity may be a possible cause in case of study with two or more explanatory variables. In the presence of multicollinearity, the design matrix becomes nearly singular and hence X and the corresponding XX are not of full rank. In this situation, the Ordinary Least Square (OLS)...

Jil C. Onimus makes a contribution to the nascent research line on the economic value of venture capital contracts which lies at the intersection of venture capital contract design and real option pricing. She identifies the baskets of real options embedded in model venture capital contracts as...

Purpose – Partial least squares (PLS) path modeling has become a pivotal empirical research method in international marketing. Owing to group comparisons' important role in research on international marketing, we provide researchers with recommendations on how to conduct multigroup analyses in...

The finite sample behaviour is analysed of particular least squares (LS) and method of moments (MM) estimators in panel data models with individual effects and both a lagged dependent variable regressor and another explanatory variable which may be affected by lagged feedbacks from the dependent...

In this paper the estimation problem and the problem of designing experiments in a nonlinear regression model, used in microbiology, are studied. The model is called Monod model, defined imlicitly by a differential equation for the regression function and has numerous applications in microbial...