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Advancing linear and non-linear mixed models in engineering science
Jensen, Sofie Pødenphant
(PhD Student)
Brockhoff, Per B.
(Main Supervisor)
Kristensen, Kasper
(Supervisor)
Külahci, Murat
(Supervisor)
Clemmensen, Line Katrine Harder
(Examiner)
Schlich, Pascal
(Examiner)
Ekstrøm, Claus Thorn
(Examiner)
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/09/2015
→
14/01/2019
Funding
Technical University of Denmark
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Mixed Model
Mathematics
100%
Multiplicative
Mathematics
100%
Multiplicative Mixed Model
Keyphrases
83%
Analysis of Variance
Mathematics
77%
Variance Model
Mathematics
66%
Confidence Interval
Mathematics
33%
Genotype by Environment
Keyphrases
16%
Biadditive Models
Keyphrases
16%
Research output
Research output per year
2019
2019
2019
1
Ph.D. thesis
Research output per year
Research output per year
Biadditive Mixed Models - Advancing Computational Methods and Applications
Jensen, S. P.,
2019
, Kgs. Lyngby:
Technical University of Denmarik
.
155 p.
(DTU Compute PHD-2018, Vol. 487).
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Multiplicative
100%
Mixed Model
100%
Multiplicative Mixed Model
83%
Analysis of Variance
77%
Variance Model
66%
394
Downloads (Orbit)