  The promotion work 'The Estimation of Transport Logistic Processes Models on
the Base of Intensive Computer Methods of Statistics' has been worked out by
Helen Afanasyeva to obtain the scientific degree of 'Doctor of Science
Engineering in Telematics and Logistics'. Scientific supervisor of the work is
Dr.habil.sc.ing., professor Alexander Andronov. The work is devoted to the
implementation of the modern statistical methods for the transport and logistic
models analysis. The intensive computer method resampling is especially
attended. This method is non-parametrical and gives the most efficient
estimators of the systems' characteristics in the case of small initial sample
sizes. The investigation was held in three main directions: the forecasting and
estimation of logistic models, the estimation of the reliability and efficiency
of carries, and the analysis of inventory control problems in logistic systems.
Resampling method usage algorithms and inferences for formulas of the
efficiency comparison of traditional and resampling approaches were suggested
for each task implementing corresponding mathematical model. The efficiency
criteria were: bias, variance or mean squared error of the estimator. The
numerical results proving the efficiency of the suggested approach were
obtained. The conclusions and recommendations, concerning the conditions in
which the suggested approach is the most effective were made. The obtained
results are general, because can be used in other subject areas.
