dc.contributor.advisor | Eidsvik, Jo | nb_NO |
dc.contributor.author | Manoharan, Nirosan | nb_NO |
dc.date.accessioned | 2014-12-19T13:19:26Z | |
dc.date.available | 2014-12-19T13:19:26Z | |
dc.date.created | 2014-05-28 | nb_NO |
dc.date.issued | 2014 | nb_NO |
dc.identifier | 720362 | nb_NO |
dc.identifier | ntnudaim:10080 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/247234 | |
dc.description.abstract | In this thesis a parametric and non-parametric model are proposed for the study of value of information regarding decision making in petroleum industry. More specifically, a Gaussian method is introduced and analysed for the parametric model and k-nearest neighbour method is developed and discussed as a non-parametric representative. Both methods are implemented in R-code, a statistical programming language, and numerical results including qualitative plots and sensitivity tests are given. This paper concludes with a discussion of some important implementation concerns and recommendations for further work related to the topic. | nb_NO |
dc.language | eng | nb_NO |
dc.publisher | Institutt for matematiske fag | nb_NO |
dc.title | K-nearest neighbour methods for value of information in petroleum decision making | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 49 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for naturvitenskap og teknologi, Institutt for fysikk | nb_NO |