MRT10 Resampling techniques and Statistical Modelling

Faculty of Science
Autumn 2007
Extent and Intensity
0/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
Prof. Lola Ugarte (lecturer), prof. RNDr. Ivanka Horová, CSc. (deputy)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Contact Person: prof. RNDr. Ivanka Horová, CSc.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Resampling techniques with R Environmental Case Studies 1.- Small area estimation using linear models: estimation of the number of hectares occupied byfruit trees in Navarra, Spain 2.- Spatial Statistics for Environmental Epidemiology: disease mapping using an Empirical Bayes approach
Syllabus
  • First part: Resampling techniques with R: 1.- Introduction to the non-parametric Bootstrap 2.- The Bootstrap Paradigm 3.- Bootstrap Confidence Intervals 4.- Permutation and Bootstrap Test 5.- Practicals with R. Second Part: Environmental Case Studies 1.- Small area estimation using linear models: estimation of the number of hectares occupied by fruit trees in Navarra, Spain 1.1 Introduction 1.2. Theoretical model. Inference and Validation 1.3 Practical resolution in R 2.- Spatial Statistics for Environmental Epidemiology: disease mapping using an Empirical Bayes approach 2.1. Introduction. 2.2 A Poisson-Normal Mixed Model 2.3 PQL Inference 2.4 Analysis of mortality data
Language of instruction
English
Further Comments
Study Materials
The course is taught only once.
The course is taught: in blocks.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2007/MRT10