An Extreme Value Approach to Modeling Risk of Extreme Rainfall in Bangladesh
(2018) MASK01 20181Mathematical Statistics
- Abstract
- The extreme value theory has been applied on daily rainfall in the five most
exposed areas of Bangladesh between the years 1980-2016 in order to esti-
mate extreme rainfalls for the next 10, 50 and 100 years. These types of
computations are necessary for optimising planning and preparations for ex-
treme future rainfalls which can lead to minimising property damage and
ultimately saving lives.
Generalised extreme value distribution is fitted to annual maxima accord-
ing to the block maxima method. In addition, the generalised Pareto distri-
bution is fitted to the daily rainfall according to the Peaks-Over-Threshold
method. The different parameters were estimated with a 95 % confidence
interval both through the delta- and the... (More) - The extreme value theory has been applied on daily rainfall in the five most
exposed areas of Bangladesh between the years 1980-2016 in order to esti-
mate extreme rainfalls for the next 10, 50 and 100 years. These types of
computations are necessary for optimising planning and preparations for ex-
treme future rainfalls which can lead to minimising property damage and
ultimately saving lives.
Generalised extreme value distribution is fitted to annual maxima accord-
ing to the block maxima method. In addition, the generalised Pareto distri-
bution is fitted to the daily rainfall according to the Peaks-Over-Threshold
method. The different parameters were estimated with a 95 % confidence
interval both through the delta- and the profile likelihood methods. There-
after, the return period is computed according to each model using the same
estimated confidence intervals. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8939492
- author
- Andersson, Emmy and Nilsson, Evelina
- supervisor
- organization
- course
- MASK01 20181
- year
- 2018
- type
- M2 - Bachelor Degree
- subject
- language
- English
- id
- 8939492
- date added to LUP
- 2018-05-11 13:42:17
- date last changed
- 2018-05-11 13:42:17
@misc{8939492, abstract = {{The extreme value theory has been applied on daily rainfall in the five most exposed areas of Bangladesh between the years 1980-2016 in order to esti- mate extreme rainfalls for the next 10, 50 and 100 years. These types of computations are necessary for optimising planning and preparations for ex- treme future rainfalls which can lead to minimising property damage and ultimately saving lives. Generalised extreme value distribution is fitted to annual maxima accord- ing to the block maxima method. In addition, the generalised Pareto distri- bution is fitted to the daily rainfall according to the Peaks-Over-Threshold method. The different parameters were estimated with a 95 % confidence interval both through the delta- and the profile likelihood methods. There- after, the return period is computed according to each model using the same estimated confidence intervals.}}, author = {{Andersson, Emmy and Nilsson, Evelina}}, language = {{eng}}, note = {{Student Paper}}, title = {{An Extreme Value Approach to Modeling Risk of Extreme Rainfall in Bangladesh}}, year = {{2018}}, }