Statistical Estimates for Modified Gravity Model by Aggregated Data

Communications in Statistics - Simulation and Computation 2010
Aleksandrs Andronovs, Diāna Santalova

A nonlinear regression model for forecasting of passenger ow between various spatial points (towns) is described. Unknown parameters are estimated using aggregated data when the information about a number of the departed passengers from each town is available only. For estimation the least squares and maximum likelihood methods are used. Numerical examples are performed to illustrate the proposed approaches.

Atslēgas vārdi
Nonlinear regression, estimation, gradient method, information matrix
DOI
10.1080/03610918.2012.625275
Hipersaite
http://www.tandfonline.com/doi/abs/10.1080/03610918.2012.625275?journalCode=lssp20#.VEDnoE0cSpo

Andronovs, A., Santalova, D. Statistical Estimates for Modified Gravity Model by Aggregated Data. Communications in Statistics - Simulation and Computation, 2010, Vol.41, Iss.6, 730.-745.lpp. ISSN 0361-0918. e-ISSN 1532-4141. Pieejams: doi:10.1080/03610918.2012.625275

Publikācijas valoda
English (en)