THE MATRIX ASPECT OF LONGITUDINAL DATA AND LINEAR RECURSIVE MODEL OF FIBONACCI TYPE

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Published: 2015-02-25

Page: 27-38


R. BEN TAHER

Department of Mathematics and and Computer, Faculty of Sciences, Universite Moulay Ismail, B.P. 4010, Beni M'hamed, Meknes, Morocco

M. RACHIDI

Department of Mathematics and and Computer, Faculty of Sciences, Universite Moulay Ismail, B.P. 4010, Beni M'hamed, Meknes, Morocco

M. SAMIH *

Department of Mathematics and and Computer, Faculty of Sciences, Universite Moulay Ismail, B.P. 4010, Beni M'hamed, Meknes, Morocco

*Author to whom correspondence should be addressed.


Abstract

In this paper, we supply a mathematical model describing the longitudinal data based on linear recursive sequences. Together with the matrix aspect of the longitudinal data we approach the multidimensional data. Moreover, we submit these data to an analysis, taking care of their specic aspects. Comparison with other model and examples of real data are discussed.

Keywords: Longitudinal data, Fibonacci sequences model, minimum square criterium


How to Cite

BEN TAHER, R., M. RACHIDI, and M. SAMIH. 2015. “THE MATRIX ASPECT OF LONGITUDINAL DATA AND LINEAR RECURSIVE MODEL OF FIBONACCI TYPE”. Journal of Basic and Applied Research International 5 (1):27-38. https://ikprress.org/index.php/JOBARI/article/view/2634.

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