Abstract
In this paper, the semi-average method under neutrosophic statistics is introduced. The trend regression line for the semi-average method is given in the presence of Neutrosophy in the data. The application of the semi-average method under indeterminacy is given with the help of wind speed data. The efficiency of the semi-average method under the neutrosophic statistics is discussed over the semi-average method under classical statistics. From the analysis, it is concluded that the proposed method is effective, informative, and flexible for the forecasting of wind speed.
Highlights
In this paper, the semi-average method under neutrosophic statistics is introduced
The semi-average method under neutrosophic was introduced in this paper
The proposed semi-average method is the extension of the semi-average method under classical statistics
Summary
The semi-average method under neutrosophic statistics is introduced. The trend regression line for the semi-average method is given in the presence of Neutrosophy in the data. The application of the semi-average method under indeterminacy is given with the help of wind speed data. Worked on the estimation of wind speed using the time series m. The existing statistical methods are applied for the estimation of wind energy when the parameters or the data is determined or exact. According to the best of our knowledge, no work on semi-average method under neutrosophic statistics is developed. To fill this gap, in this paper, we will present the semi-average method in the presence of indeterminacy in the data. In the method of semi-average under indeterminacy, the time series data having neutrosophic numbers is divided into two equal or nearly equal halves. Note here that Eq (1) is used to estimate the following regression line under indeterminacy
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