The use of methods of unbiased estimates for probabilities
in agricultural research
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In this work the new multivariate discrete probability model of agricultural economics processes is proposed and studied for agricultural research. Research was performed on a full cycle which is adopted in mathematical statistics, namely, the model was constructed and investigated, various methods for estimating the parameters was proposed and test the hypothesis that the model adequacy observations, was considered. 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 possib...
In this work the new multivariate discrete probability model of agricultural economics processes is proposed and studied for agricultural research. Research was performed on a full cycle which is adopted in mathematical statistics, namely, the model was constructed and investigated, various methods for estimating the parameters was proposed and test the hypothesis that the model adequacy observations, was considered. 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.
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