In this paper we apply recently developed nonparametric kernel regression estimation methods to quantify the conditional distribution of motion-picture earnings. The nonparametric data-driven approach allows the full range of relationships among variables to be captured, including nonlinearities that usually remain hidden in parametric models. The nonparametric approach does not assume a functi...

Data Envelopment Analysis is a linear programming technique for assessing the efficiency and productivity of decision making units (DMUs). Over the last decade, DEA has gained considerable attention as a managerial tool for measuring performance. The flexibility in selecting the weights in standard DEA models deters the comparison among DMUs on a common base. Moreover, these weights are unsuita...

The purpose of this paper is to develop an output oriented methodology for calculating productivity growth by using Malmquist productivity index (MPI) and two different data envelopment analysis (DEA) views (optimistic and pessimistic) simultaneously, and apply it to five Iranian Commercial Banks over the four time period (2009-2013). Consequently, we have proposed a new approach called the dou...

Introduction to Nonparametric Regression describes the usage of MinGW for. 7 Nonparametric regression techniques for time series. Theo Gasser introduced me to the subject I treat in this book. Without his feeling.Semi-parametric approach. To draw the pdf of X. Simplest method: Use a histogram. Nonparametric regression is a set of techniques for estimating a regression curve. Mators, and so they...

A number of nonparametric methods exist when studying the population and its parameters in the situation when the distribution is unknown. Some of them such as "resampling bootstrap method" are based on resampling from an initial sample. In this article empirical likelihood approach is introduced as a nonparametric method for more efficient use of auxiliary information to construct...

the performance of a supply chain can be evaluated in either a cross-sectional or a time series manner, and data envelopment analysis is a useful method for both types of evaluation. in this paper we develop an index and indicator of productivity change that can be used with radial and non-radial models for supply chain malmquist index. the supply chain malmquist productivity index (scmpi) can ...

bankruptcy in the same amount of time and history is very rampant and therefore the vision of the future can be prevented. using data envelopment analysis (dea) and malmquist index can precise evaluating of the performances of many different kinds of decision making units (dmu) such as hospitals, universities, business firms, etc. in this paper, we will modify directional distance formulation o...

Bankruptcy in the same amount of time and history is very rampant and therefore the vision of the future can be prevented. Using data envelopment analysis (DEA) and malmquist index can precise evaluating of the performances of many different kinds of decision making units (DMU) such as hospitals, universities, business firms, etc. In this paper, we will modify directional distance formulation o...