Sequential Analysis of Statistical Data: Applications.

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...

Sequential Methods and Their Applications

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...

Applications of Bayesian statistical methods in microarray data analysis.

Microarray technology allows one to measure gene expression levels simultaneously on the whole-genome scale. The rapid progress generates both a great wealth of information and challenges in making inferences from such massive data sets. Bayesian statistical modeling offers an alternative approach to frequentist methodologies, and has several features that make these methods advantageous for th...

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...