This short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their advantages ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

The purpose of this paper is to compare in-sample and out-of-sample performances of three parametric and non-parametric early warning systems (EWS) for currency crises in emerging market economies ...

The Journal of the Operational Research Society, Vol. 60, No. 12 (Dec., 2009), pp. 1775-1785 (11 pages) The research on efficiency valuations has used two distinct approaches. One is the nonparametric ...

What is Pearson correlation test, Pearson product moment correlation or Pearson r? Pearson’s correlation helps us understand the relationship between two quantitative variables when the relationship ...