Time series data analysis under indeterminacy

卷:10

Article

关键词: WIND-SPEED;    WEIBULL;   

DOI  :  10.1186/s40537-023-00806-4

来源: SCIE

【 摘 要 】

The existing semi-average method under classical statistics is applied to measure the trend in the time series data. The existing semi-average method cannot be applied when the time series data is in intervals or imprecise. In this paper, we will introduce a semi-average method under neutrosophic statistics to measure the trend in imprecise or interval data. The application of the proposed semi-average method will be given using the wind speed data. The efficiency of the proposed semi-average method under neutrosophic statistics will be given over the semi-average method under classical statistics in terms of information and adequacy.