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In this work the new multivariate discrete probability model of distribution of processes distortion of radiation from remote sensing data is proposed and studied.Research was performed on a full cycle adopted in mathematical statistics. For this model a new class of unbiased estimators, which have good asymptotic properties, obtained. Found that the maximum likelihood estimator for this model is not always possible to find. Also for this model impossible to construct estimates for the modified method of minimum chi-square. The proposed model is new and it was not described in the world literature previously.…mehr

Produktbeschreibung
In this work the new multivariate discrete probability model of distribution of processes distortion of radiation from remote sensing data is proposed and studied.Research was performed on a full cycle adopted in mathematical statistics. For this model a new class of unbiased estimators, which have good asymptotic properties, obtained. Found that the maximum likelihood estimator for this model is not always possible to find. Also for this model impossible to construct estimates for the modified method of minimum chi-square. The proposed model is new and it was not described in the world literature previously.
Autorenporträt
Iskakova Ayman is the Candidate of Physical and Mathematical Sciences, associate professor of fundamental mathematics of L.N. Gumiloyv Eurasian National University. Her scientific interests are in the areas of research of mathematical statistics and methods of mathematical modeling.