Development and identification of hierarchical nonlinear mixed effects models for the analysis of dynamic systems: identification and application of hierarchical nonlinear mixed effects models for the determination of steady-state and dynamic torque responses of an SI engine

Multi-level or hierarchical models present various features for dealing with data grouped at several levels. The majority of applications of hierarchical models use clustered data that is static in nature and collected over a long period of time. The purpose of this study is investigating hierarchic...

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Bibliographic Details

Main Author:	MJ Ghomashi
Format:	Default Thesis
Published:	2019
Subjects:	Other engineering not elsewhere classified Conditional linearization dynamic torque gradient optimisation hierarchical model mixed effects multi model spark sweep transient engine mapping Engineering not elsewhere classified
Online Access:	https://dx.doi.org/10.26174/thesis.lboro.8343977.v1
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