The following study presents the empirical analysis of the numeric methods in forecasting in conditions of lack of full information. In forecasting the following methods were used: segment, two variants of curves methods, and four variants of Lagrange methods. In analysis are used the average relative forecast errors in six variants of blanks. This study is an attempt to answer a question, whether the amount and distribution of blanks affect the quality of forecasts.
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