Statistical Analysis of Root Count Data

Statistical Analysis of Spatial Count Data

Statistical Analysis Methods for the fMRI Data

Functional magnetic resonance imaging (fMRI) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. The technique has become a ubiquitous tool in basic, clinical and cognitive neuroscience. This method can measure little metabolism changes that occur in active part of the brain. We process the fMRI data to be able to find the parts of br...

Concepts and Foundations of Data Analysis and Statistical Information in Modern Statistical System

Abstract. One of the most important fundamental principles of official statistics, is the principle of Relevance, Impartiality, and professional ethics. Trust and ensure of the stakeholders and users of official statistics to the professional independency of National Statistical Offices (NSO) and the National Statistical System (NSS), as a social capital, is one of the most important factors fo...

Regression Analysis of Count Data

Three nonlinear count models, Poisson R.egression (PR), Negative Binomial Regression (NBR), and Generalized Poisson Regression (GPR) are used for assessing the effects of risk factors on agricultural injuries from farm injury data. A sample of 1,322 respondents who participated in the farm safety/injury baseline survey in nine rural counties in Alabama and Mississippi, aged 18 years and older a...

A statistical test for outlier identification in data envelopment analysis

In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. In the prese...