extended abstract introduction hospitals are the most important and complex social units which are intended to protect the lives of people and to treat and improve them. with the passage of time and progress in science, hospitals have been equipped with more advanced technology and facilities. more active beds in hospitals are indications of specialized manpower, equipment and facilities for th...

Data envelopment analysis (DEA) models can calculate the Malmquist Productivity Index (MPI). Classic Malmquist Productivity Index shows regress and progress of a DMU in different periods with efficiency and technology variations without considering the present value of money. This issue is of major importance since while a currency of in previous year is not equal to that of now this would yiel...

Abstract: A simple Bayesian approach to nonparametric regression is described using fuzzy sets and membership functions. Membership functions are interpreted as likelihood functions for the unknown regression function, so that with the help of a reference prior they can be transformed to prior density functions. The unknown regression function is decomposed into wavelets and a hierarchical Baye...

Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the underlying, unknown distribution. Nonparametric techniques remove this assumption In particular, the Parzen Window (PW) relies on a combination of local window functions centered in the patterns of a training sample. Although effec...

We analyze hospital efficiency and productivity growth using an innovative approach which employs the directional distance function and the Luenberger productivity indicator. The primary advantage of our approach is that both input contractions and output expansions are considered. Our model generates a productivity indicator that is decomposed into the usual constituents of productivity growth...

this study aimed to measure the hospital productivity using data envelopment analysis (dea) technique and malmquist indices.this is a cross sectional study in which the panel data were used in a 4 year period from 2007 to 2010. the research was implemented in 12 teaching and non-teaching hospitals of ahvaz county. data envelopment analysis technique and the malmquist indices with an input-orien...

Using a nonparametric Bayesian approach Palacios and Minin (2013) dramatically improved the accuracy, precision of Bayesian inference of population size trajectories from gene genealogies. These authors proposed an extension of a Gaussian Process (GP) nonparametric inferential method for the intensity function of non-homogeneous Poisson processes. They found that not only the statistical proper...

The productivity change of a decision making unit (DMU) between two time periods can be evaluated by the Malmquist productivity index. In this study, we propose a method to compute the Malmquist productivity index in several time periods (from the first to the last periods) on interval data in data envelopment analysis (DEA). Then, the obtained Malmquist productivity index is compared with Malm...