The length-weight relationship and condition factor have been broadly investigated in snails to obtain the index of physical condition of populations and evaluate habitat quality. Herein, our goal was to describe the best predictors that explain Achatina fulica biometrical parameters and well being in a recently introduced population. From November 2001 to November 2002, monthly snail samples w...

Revealing the failure of agile software projects is a great challenge faced by companies. This paper focuses on using intelligent techniques such as fuzzy logic, multiple linear regressions, support vector machine, neural network to address this challenge. also presents review some works related area interest. In paper, researchers propose an approach for revealing based two techniques: logic a...

The QAP approach has been extended from the analysis of bivariate correlations to multiple regressions, and is assuming the “workhorse” role for social network analysis analogous to that played by the OLS linear regression for non-network analysis. But there are severe limitations to current implementations, namely the restriction to one group at a time, and to linear regressions. Contemporary ...

This paper gives optimal algorithms for determining realvalued univariate unimodal regressions, that is, for determining the optimal regression which is increasing and then decreasing. Such regressions arise in a wide variety of applications. They are shape-constrained nonparametric regressions, closely related to isotonic regression. For unimodal regression on weighted points our algorithm for...

BACKGROUND The present investigation compared parenting practices in a sample of preschoolers whose mothers reported smoking during pregnancy versus those who did not. METHODS A sample of n = 216, 3.0- to 5.11-year-old children, participants in an ongoing longitudinal study, was separated into those reportedly exposed to smoking in utero and those who were not. Parenting practices were compar...

In this paper we examine whether nonlinearities in the aggregate production function can explain parameter heterogeneity in the Solow (1956) growth regressions. Nonlinearities in the production technology are introduced by replacing the linear Cobb-Douglas specification with the more general CES specification. We justify our choice of production function by showing that in the context of cross-...