Course content

Introduction to spatial data analysis, representing space, interfacing geographical information systems, space-time data, spatial statistics overview (point patterns, geostatistics, areal data). Use of GIS and spatial statistics for radioecological modeling and mapping using Chernobyl- and Fukushima-related data, focusing on public health protection.

Course Data

University: 

Örebro

Offered: 

2012:1

Level: 

PhD

Credits (ECTS): 

3.0

Type of schedule: 

Travel friendly schedule

Content

• Mathematical background (limits, series, order relations and rates of convergence, continuity, sets)
• Measure theoretic foundations of probability (probability triplets, random variables, independence, expected values, change of variable)
• Stochastic convergence (almost sure convergence, convergence in probability, convergence in distribution, laws of large numbers, central limit theorems, non-iid stochastic variables)
• Conditional probability and expectation
• Statistical tests (size and critical values, power, efficiency, asy

Course Data

University: 

Örebro

Offered: 

2012:1

Level: 

PhD

Credits (ECTS): 

12.0

Type of schedule: 

Travel friendly schedule

The aim of the course is to give the students basic knowledge in multilevel modelling from both theoretical as well as practical side. The course is designed to help doctoral students in their empirical analysis with multi-level data. The course will provide an up-to-date overview on the most commonly used

Course Data

University: 

Jönköping

Offered: 

2012:1

Level: 

PhD

Credits (ECTS): 

7.5

Type of schedule: 

Schedule to be decided