A Dynamic Model of Nuclear Energy Market Share Employing Full Information Maximum Likelihood Parameter estimation and Extended Kalman Filtering

Made available in DSpace on 2017-07-06T18:42:20Z (GMT). No. of bitstreams: 3 Arthur_William_B_MS.pdf: 73243182 bytes, checksum: ca6a2f2b7245fe7bbb954caa60e6f0b5 (MD5) Arthur_William_B_MS_ABS.pdf: 1097901 bytes, checksum: 74a8e84ddcd0435d126fa4385f60c5ef (MD5) license.txt: 4813 bytes, checksum: 715c4321821a960fa1a1e91d2ac7ebce (MD5) Previous issue date: 1976

Name thesis:degree_name

M.S. (master's)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Nuclear, Plasma, and Radiological Engineering

Year dc:date

2017

Author dc:creator

• Arthur, William B.

• nuclear engineering
• nuclear energy market share
• maximum likelihood parameter estimation
• extended kalman filtering
• non-linear dynamic simulation model
• nuclear and fossil fuel engery balance
• FIMLOF

Statement dc:rights

• Copyright 2000 Michael Aref

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/96308

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/96308