abstract profile monitoring in statistical quality control has attracted attention of many researchers recently. a profile is a function between response variables and one or more independent variables. there have been only a limited number of researches on monitoring multivariate profiles. indeed, monitoring correlated multivariate profiles is a new subject in the fileld of statistical process...

objective: pulmonary air-leakage especially pneumothorax (ptx), is a severe complication in neonates. the aim of this study was to assess the predisposing factors and frequency of ptx among the low birth weight (lbw) premature infants, under mechanical ventilation. methods: this cross sectional study was performed in 121 lbw intubated premature infants at neonatal intensive care unit of a child...

the project was undertaken to study the evaluation of effectiveness of crop advisory services and suggested measures for filling the gap in aurangabad district of maharashtra in india. the survey was carried out in 2010. the data was collected with the help of a specifically designed and pre-tested questionnaire. the project carried out in catchment area of advisory services has given substanti...

background and objectives: evidence increasingly highlights the impact of emotional intelligence in managers on the productivity and performance of their organizations. given the importance of decision-making in the management process, this study explored the relationship between emotional intelligence and decision-making quality in hospital managers. methods: a cross-sectional questionnaire-ba...

Abstract. Bias correction and statistical downscaling are now regularly applied to climate simulations make then more usable for impact models studies. Over the last few years, various methods were developed account multivariate – inter-site or inter-variable properties in addition usual univariate ones. Among such methods, temporal either neglected specifically accounted for, i.e. differently ...

Assessment of vegetation water content is critical for monitoring vegetation condition, detecting plant water stress, assessing the risk of forest fires and evaluating water status for irrigation. The main objective of this study was to investigate the performance of various monoand multi-variate statistical methods for estimating vegetation water content (VWC) from hyper-spectral data. Hyper-s...

Regression quantiles, along with the dual methods of regression rank scores, can be considered one of the major statistical breakthroughs of the past decades. Its advantages over the other estimation methods have been well investigated. Regression quantile methods provide a much more complete statistical analysis of the stochastic relationships among variables; in addition, they are more robust...