Experimental analysis of statistical properties of parameter estimates of modified gravity model

Autor:	Diana Santalova
Rok vydání:	2013
Předmět:	Estimation Correctness Simulation modeling Statistical model Control and Systems Engineering Gravity model of trade Consistency (statistics) Signal Processing Statistics Applied mathematics Nonlinear regression Random variable Software Mathematics
Zdroj:	Automatic Control and Computer Sciences. 47:99-106
ISSN:	1558-108X 0146-4116
DOI:	10.3103/s0146411613020065
Popis:	The modified gravity model is investigated, this is a nonlinear regression model for passenger correspondences estimating for pairs of objects (points). Unknown parameters of the model and correspondences are estimated using information about total departures from each object only, these are random variables. The model and method of its estimation are stated in [1]. In the present paper the statistical properties of parameter estimates of the model are investigated. For that the principles of simulation modeling are used. The hypothesis about correctness of the suggested probabilistic model, unbiasedness and consistency of the estimates are tested.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::483b517b66bdf7eeac51a49c811b415d https://doi.org/10.3103/s0146411613020065 Zobrazit plný text záznamu Full text from SpringerLink