Combinatorial Algorithm In Linear Model

Autor: Ižvoltová Jana, Pisca Peter
Jazyk: English<br />French
Rok vydání: 2018
Předmět:
Zdroj: MATEC Web of Conferences, Vol 196, p 03017 (2018)
Druh dokumentu: article
ISSN: 2261-236X
DOI: 10.1051/matecconf/201819603017
Popis: 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.
Databáze: Directory of Open Access Journals