Background and Objectives: Evaluating the performance of clinical units is critical for effective management of health settings. Certain assessment of clinical variables for performance analysis is not always possible, calling for use of uncertainty theory. This study aimed to develop and evaluate an integrated independent component analysis-fuzzy-data envelopment analysis approach to accurate ...

Sustainability in 19 different Arab countries has been studied through investigating the relationship between economic development and energy consumption. Data collected has been studied as a whole (Total countries data) and as segregated data (Oil exporting and Oil importing countries data) i.e. three categories. The regression model used measures the effect of independent and control variable...

The paper deals with the problem of approximation functions several variables by branched continued fractions. We study correspondence between formal multiple power series and so-called "multidimensional $S$-fraction independent variables". As a result, necessary sufficient conditions for expansion into corresponding multidimensional have been established. Several numerical experiments show eff...

A study was carried out with 501 persons to analyze the predictive capacity of various psychosocial variables-symptom perception, neuroticism, Personality Types 2 and 4 of Grossarth-Maticek and Eysenck, beliefs about health, social support, or certain coping styles-on two health-related behaviors: the frequency of visits to the doctor and self-medication. The results were analyzed by two struct...

abstractthe understanding of water resources for the purpose of ground and surface water management as two inseparable systems is great importance. in this study by examining the time series of climatic variables (precipitation), hydrological (flow and consume) and the level of water table, the parameters associated with each other and with fluctuating water table can be realized. there was a d...

We compute useful upper and lower bounds on the expected maximum of up to a few hundred correlated Normal variables with arbitrary means and variances. Two types of bounding processes are used: perfectly dependent Normal variables, and independent Normal variables, both with arbitrary mean values. The expected maximum for the perfectly dependent variables can be evaluated in closed form; for th...

This article examines the relationships between interaction (product) terms and curvilinear (quadratic) terms in regression models in which the independent variables are correlated. The author uses 2 substantive examples to demonstrate the following outcomes: (a) If the appropriate quadratic terms are not added to the estimated model, then the observed interaction may indicate a synergistic (of...