Combinatorial Algorithm In Linear Model

Gauss-jacobi combinatorial algorithm is an alternative approach to traditional iterative numerical methods, which is primary oriented for parameter estimation in nonlinear models. The combinatorial algorithm is often exploited for outlier diagnosis in nonlinear models, where the other parameter esti...

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Bibliographic Details
Main Authors: Ižvoltová, Jana, Pisca, Peter
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Combinatorial analysis
Iterative methods
Markov chains
Mathematical models
Numerical methods
Parameter estimation
Process parameters
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Summary:Gauss-jacobi combinatorial algorithm is an alternative approach to traditional iterative numerical methods, which is primary oriented for parameter estimation in nonlinear models. The combinatorial algorithm is often exploited for outlier diagnosis in nonlinear models, where the other parameter estimation methods lose their efficiency. The paper describes comparison of both of gauss-jacobi combinatorial and gauss-markov models executed on parameter estimation process of levelling network for the reason to find the efficiency of combinatorial algorithm in simply linear model.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201819603017