We reply to the commentaries on the lead papers by Neale et al. [1994a] and Duffy and Martin [1994]. Topics covered include power calculations, cross-sectional measurement vs. lifetime reports, the appropriateness of the direction of causation (DOC) model, extensions to study causation between the latent variables, sampling of subjects, and heterogeneity. We consider the potential of combining ...

detection of speech pathologies by exploiting the estimation of the glottal source. Three methods of estimation are compared and time and spectral features are extracted. The relevancy of these features is assessed by means of information theory-based measures. This allows an intuitive interpretation in terms of discrimination power and redundancy between the features. It is discussed which fea...

In this paper, implementation of a morphological analyzer for Turkish using the combinator parsing method is discussed. A functional language is used for implementation. The analyzer handles all the morphophonemic processes of Turkish, and models the morphotactics as higher-order functions. The code of the analyzer is informative about linguistic point of view because of the declarative power o...

brain and functional MRI. The latter has been informative due to its superb localizing power and its exquisite capability to record the dynamics of neuronal population activity across the entire brain and to hence capture large-scale functional connectivity patterns. Yet, for instance when addressing temporal properties as below, limitations of hemodynamic signals will lead us to also discuss e...

In this paper the Signalling approach to the explanation of wage di®erentials is analyzed both under a microeconomic and a macroeconomic viewpoint. Departuring from the classical Spence's model, the introduction of inequalities in accessing to education leads to redistributive e®ects among workers and ̄rms. Moreover the existence of factors related both to local and to parental externalities gr...

The Truncated Cauchy Power Weibull-G class is presented as a new family of distributions. Unique models for this are in paper. statistical aspects the explored, including expansion density function, moments, incomplete moments (IMOs), residual life and reversed functions, entropy. maximum likelihood (ML) Bayesian estimations developed based on Type-II censored sample. properties Bayes estimator...