iranian female participation rate in the labor market of iran in the recent decade shows a increasing trend which amounted from 8% in 1999 to 18% in 2005.using parametric and non-parametric econometrics methods, in this research we aim to study the behavior of individual married females labor participation. our dataset consist of the annually budget survey of 2006 which is reported by statistic...

conclusions parametric models may provide complementary data for clinicians and researchers about how risks vary over time. the weibull model seemed to show the best fit among the parametric models of the survival of hemodialysis patients. results the results of a multivariate analysis of the variables in the parametric models showed that the mean serum albumin and the clinic attended were the ...

Nonhomogeneous Poisson processes (NHPPs) are often used to model recurrent events, and there is thus a need to check model fit for such models. We study the problem of obtaining exact goodness-of-fit tests for certain parametric NHPPs, using a method based on Monte Carlo simulation conditional on sufficient statistics. A closely related way of obtaining exact confidence intervals in parametri...

A methodology is presented to assist the synthesis of engineering decisions based on the representation of feasible space. Given a parametric model and initial specifications, the Extensive Simplex Method is proposed to traverse the extreme points of an approximate linear model. The connected extreme points are projected to a set of two-dimensional viewing planes to visualize the feasible space...

Parametric, model-based algorithms learn generative models from the data, with each model corresponding to one particular cluster. Accordingly, the model-based partitional algorithm will select the most suitable model for any data object (Clustering step), and will recompute parametric models using data specifically from the corresponding clusters (Maximization step). This Clustering-Maximizati...

In this paper we propose a model which includes both a known (potentially) nonlinear parametric component and an unknown nonparametric component. This approach is feasible given that we estimate the finite sample parameter vector and the bandwidths simultaneously. We show that our objective function is asymptotically equivalent to the individual objective criteria for the parametric parameter v...