When used inappropriately, statistical models may give rise to misleading conclusions. Checking that a given model is an appropriate representation of the data is therefore an important step.

A second course in statistics with an emphasis on data analysis with applications in the social sciences. Students will gain hands on experience using R-- a programming language and software ...

It will cover an introduction to quantitative research design and causal inference, exploratory data analysis and data visualisation, generalised linear models, and generalised latent variable models ...

Scandinavian Journal of Statistics, Vol. 32, No. 2 (Jun., 2005), pp. 223-240 (18 pages) We review and extend some statistical tools that have proved useful for analysing functional data. Functional ...

Multiple-bias models provide alternatives that allow one systematically to integrate major sources of uncertainty, and thus to provide better input to research planning and policy analysis. Typically, ...

Numerical models and satellite observation are fundamental to understanding environmental systems and change. The MSc in Environmental Modelling and Data Analysis will provide you with the skills to ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.