Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields
(2013) In Master's Theses in Mathematical Sciences FMS820 20131Mathematical Statistics
- Abstract (Swedish)
- The goal of this dissertation is to estimate the amount of water in
snowpacks at the areas Kultsjön and Rensaren in northen Sweden.
A model is built using spatial statistics, and the estimations will be
done by Integrated Nested Laplace Approximations (INLA). Then a
validation process was done by removing data from the data set to
create a validation set, and compare the estimations done by INLA to
a simple linear regression. Finally the model is applied to the areas
of interest, and the results are analysed.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/3633108
- author
- Öhlund, Magnus
- supervisor
- organization
- course
- FMS820 20131
- year
- 2013
- type
- H2 - Master's Degree (Two Years)
- subject
- publication/series
- Master's Theses in Mathematical Sciences
- report number
- LUTFMS-3210-2013
- ISSN
- 1404-6342
- other publication id
- 2013:E19
- language
- English
- id
- 3633108
- date added to LUP
- 2013-04-12 09:44:43
- date last changed
- 2024-10-18 12:43:41
@misc{3633108,
abstract = {{The goal of this dissertation is to estimate the amount of water in
snowpacks at the areas Kultsjön and Rensaren in northen Sweden.
A model is built using spatial statistics, and the estimations will be
done by Integrated Nested Laplace Approximations (INLA). Then a
validation process was done by removing data from the data set to
create a validation set, and compare the estimations done by INLA to
a simple linear regression. Finally the model is applied to the areas
of interest, and the results are analysed.}},
author = {{Öhlund, Magnus}},
issn = {{1404-6342}},
language = {{eng}},
note = {{Student Paper}},
series = {{Master's Theses in Mathematical Sciences}},
title = {{Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields}},
year = {{2013}},
}