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Estimation of Parameters in the Growth Curve Model with a Linearly Structured Covariance Matrix: A Simulation Study
Integrated Polytechnic Regional Centre, Rwanda.
Linköping University, Department of Mathematics, Mathematical Statistics . Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-9896-4438
University of Rwanda, Rwanda.
2017 (English)In: International Journal of Scientific Engineering and Technology, ISSN 2277-1581, Vol. 6, no 1, 45-49 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, the implementation of algorithm proposed in (Nzabanita, J., et al. 2012) for some known linear structures on the covariance matrix Σ is performed and simulations for different sample sizes are repeated many times. For these simulations, the percentages of non positive definite estimates are produced, and the linear structures are identified and classified. 

Place, publisher, year, edition, pages
2017. Vol. 6, no 1, 45-49 p.
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-136733OAI: oai:DiVA.org:liu-136733DiVA: diva2:1090185
Available from: 2017-04-23 Created: 2017-04-23 Last updated: 2017-05-08Bibliographically approved

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