This course covers the ideas underlying statistical modelling, its implementation through computational methods, and links to practical applications. Topics include probability and random variables, ...

Methods Empirical evaluation and comparison of different models were performed using model selection criteria and goodness-of-fit statistics. Simulation studies assessed the size and power of each ...

Journal of Urban and Environmental Engineering Vol. 6, No. 2, July to December 2012 STATISTICAL MODELLING OF FDC AND RETURN ... Abstract: In this paper, firstly, flow duration curves (FDCs) for ...

id=7745). This course provides an overview of modern applied statistics. It will cover an introduction to quantitative research design and causal inference, exploratory data analysis and data ...

This is a core course that provides essential grounding in statistical inference and modelling for engineers and technologists. Students will learn how to develop statistical models to describe random ...

An improvement in freshwater biodiversity in England's rivers was linked to reductions in pollution of zinc and copper, largely due to the decline of coal burning and heavy industry, say researchers.

Visualize and interpret climate anomalies using statistical analysis. Use APIs to import climate data from government portals. Visualize data in Python with matplotlib. In this module, we'll start ...

Econometrics uses economic theory, mathematics, and statistical inference to quantify economic phenomena. In other words, it turns theoretical economic models into useful tools for economic ...

Mathematical and Statistical Modelling (MaSM) is a diverse research cluster, consisting of researchers from a wide range of broadly outward-facing disciplines, from statistics to mathematical biology, ...