normal 0 false false false en-us x-none fa microsoftinternetexplorer4 aim : for the purpose of cost modeling, the semi-parametric single-index two-part model was utilized in the paper. furthermore, as functional gastrointestinal diseases which are well-known as common causes of illness among the society people in terms of both the number of patients and prevalence in a specific time interval, t...

In the conventional approach to these questions the demand analyst chooses a parametric form for the underlying utility function and derives the associated set of parametric demand functions, which are then fitted to the data using some econometric technique. The resulting parameter estimates can then be tested to see if they conform to the restrictions imposed by the utility maximization model...

Non-parametric and computational methods of option pricing have recently attracted attention of researchers. These typically include highly data intensive, model-free approaches that complement traditional parametric methods. Non-parametric and computational methods of option pricing typically include highly data intensive, model-free approaches that complement traditional parametric methods. O...

One key issue in several astrophysical problems is the evaluation of the density probability function underlying an observational discrete data set. We here review two non-parametric density estimators which recently appeared in the astrophysical literature, namely the adaptive kernel density estimator and the Maximum Penalized Likelihood technique, and describe another method based on the wave...

Large-scale statistical analysis of data sets associated with genome sequences plays an important role in modern biology. A key component of such statistical analyses is the computation of p-values and confidence bounds for statistics defined on the genome. Currently such computation is commonly achieved through ad hoc simulation measures. The method of randomization, which is at the heart of t...