estimation. In this paper, a general procedure is proposed to derive software quality estimation models for OSS projects and … quality predictors. Moreover, a neuro-fuzzy approach is adopted to improve accuracy of the estimation model. This procedure is …

. We take measures to overcome known estimation biases and improve the quality of quarterly PIN estimates. We use the …

) shows that our imputed values lead to a large decrease in measurement error. This reduces the risk that firms with missing …

used in the literature, introduces measurement error that grossly overestimates the frequency of covenant violations (Type … I error), but rarely underestimates it (Type II error). We show that this asymmetric measurement error, which is largely … findings that suggest lenders selectively enforce violations. Finally, we propose ways to reduce this measurement error …

optimization problems, and the estimation procedure is applied to empirical data sets. This approach considerably relaxes … restrictive theoretical assumptions and enables a novel estimation of the intensity of choice parameter in discrete choice. In … Monte Carlo simulations, we analyze the properties and behavior of the estimation method, which provides important …

We propose a tractable method for estimation of a simultaneous search model for differentiated products that allows for …