This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models and ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

Technological developments in data collection and analysis include the use of geographic information systems (GIS) and imagery analysis, crowdsourcing, and mobile technology (see Box 1). These new ...

Ke-Hai Yuan, Peter M. Bentler, Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data, Sociological Methodology, Vol. 30 (2000), pp. 165-200 ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Identify the core functionalities of data modeling in the data mining ...

This article discusses statistical and data mining methods used in credit scoring, highlighting their applications and effectiveness in evaluating credit risk.

Research from Umeå University paves the way for a quantitative data analysis method to study the cell division process in individual cells. The improved resolution will promote advanced cell ...