МЕТОДИ І МОДЕЛІ ПРОГНОЗУВАННЯ СТРАХОВИХ ВИПАДКІВ НА ВИРОБНИЦТВІ
Journal Title: Международный научный журнал "Интернаука" - Year 2016, Vol 1, Issue 7
Abstract
The paper is devoted to the problem of forecasting financial expenses for insurance claims. We consider the forecasting methods and models. The algorithm prediction based on autoregressive time series. The paper considered by the autoregression model, autoregression model with moving average and autoregression model with trend. In consequence of research, information-analytic system for forecasting financial processes was built.
Authors and Affiliations
Maksym Tishkov
Keywords
Related Articles
- EP ID EP236352
- DOI -
- Views 86
- Downloads 0
STRATEGIC PLANNING FOR SUSTAINABLE DEVELOPMENT IN UKRAINE – THEORETICAL ASPECT
The article analyzes the theoretical aspect of the specifics of the regulation of the economy on the basis of sustainable development in the context of strategic planning of sustainable development of Ukraine. The analys...
СОЦИОГЕНЕТИЧЕСКАЯ ДЕТЕРМИНАЦИИ РАЗВИТИЯ ЛИЧНОСТИ ЮНОШИ
The authors identified new aspects of socio-genetical determination of development of personality of youth: the relationship of socialization and individualization, the formation of tumors or other process of social regu...
PREPARATION OF INFORMATION ABOUT IMPAIRMENT OF ASSETS ACCORDING TO INTERNATIONAL AND UKRAINIAN STANDARDS
The article is devoted the differences in the preparation of information on impairment of assets in the financial statements according to international and national standards of Ukraine. The inaccuracy of the official Uk...
FEATURES OF ACCOUNTING IN UKRAINE AND ABROAD WITHIN THE COORDINATES OF THE TAX CODE AND LEGISLATION OF UKRAINE
Conditions are revealed in case of observance of which one or another trip can be considered as official business trip and features of taxation of the amounts of reimbursed expenses for travel of the employee from the pl...
COMPARATIVE ANALYSIS OF THE ALGORITHMS FOR GENERATING RANDOM MAPS
A comparative analysis of selected bionic and procedural methods for generating random maps is carried out.