In advanced information technology of statistical analysis, often data for which there are no properties, parameters, characteristics and their values is found. In this situation, the actual becomes the problem of rec...
详细信息
In advanced information technology of statistical analysis, often data for which there are no properties, parameters, characteristics and their values is found. In this situation, the actual becomes the problem of recovering missing data. It's almost impossible to set a value which is missed, but there is a large number of simple and more complex methods for replacing these values. This study describes the characteristics of some methods of filling gaps and examples of their application to the tables of data and time series.
暂无评论