Why preferring parametric forecasting to nonparametric methods?

Nonlinear Time Series: Nonparametric and Parametric Methods

Bayesian Nonparametric and Parametric Inference

This paper reviews Bayesian Nonparametric methods and discusses how parametric predictive densities can be constructed using nonparametric ideas.

Investigating the Factors Affecting Energy Consumption in the Iranian Agricultural Sector Using Parametric and Nonparametric Methods

Abstract In order to study energy consumption in Iran's agricultural sector, a Genetic algorithm concept was used to calculate significant factors affecting energy consumption between 1974 and 2008. Then, durability or "stability" of variables was assessed through econometric method (Augmented Dickey-Fuller test). In addition, long-term and short-term relationships of energy consumption were es...

Evaluation of Seed Yield Stability of Promising Sesame Lines using Different Parametric and Nonparametric Methods

Analysis of genotype by environment interaction using different statistical methods is very important in plant breeding. In order to evaluate the seed yield stability of promising sesame lines using different parametric and non-parametric statistics, an experiment was conducted using 13 promising sesame lines with check variety Oltan at three locations of Karaj, Mashhad, and Moghan (Iran) in a ...

Parametric and nonparametric models and methods in financial econometrics

In this paper we review parametric and nonparametric models and methods widely used in financial econometrics.