Sensitivity-based gradients for parameter estimation in nonlinear mixed effects models with deterministic and stochastic dynamics

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/244846
Download file(s):
File Description SizeFormat 
244846.pdfFulltext2.65 MBAdobe PDFView/Open
Type: Examensarbete för masterexamen
Master Thesis
Title: Sensitivity-based gradients for parameter estimation in nonlinear mixed effects models with deterministic and stochastic dynamics
Authors: Olafsdottir, Helga Kristin
Keywords: Elektroteknik och elektronik;Electrical Engineering, Electronic Engineering, Information Engineering
Issue Date: 2016
Publisher: Chalmers tekniska högskola / Institutionen för signaler och system
Chalmers University of Technology / Department of Signals and Systems
Series/Report no.: Ex - Institutionen för signaler och system, Chalmers tekniska högskola : EX072/2016
URI: https://hdl.handle.net/20.500.12380/244846
Collection:Examensarbeten för masterexamen // Master Theses



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.