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

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

Course Data

University: 

Örebro

Offered: 

2009:2

Level: 

PhD

Credits (ECTS): 

12.0

Type of schedule: 

Travel friendly schedule