Sentence examples for data estimation method from inspiring English sources

Future works may include the optimization of the interpolation method (e.g., the coefficients) and the implementation of the data estimation method in real PDCs.

Select an initial value (hat{alpha}_{0}), for example, using an available method, such as the complete data estimation method proposed by Xia et al.

In this paper, an accurate missing data estimation method is proposed by combining Bayesian robust matrix factorization (BRMF) and particle swarm optimization (PSO).

The complete estimation procedure consists of the following steps: Step 0.:  Select an initial value (hat{alpha}_{0}), for example, using an available method, such as the complete data estimation method proposed by Xia et al.

Although for decades scholars have been intrigued by the subject of low mortality rates from the pandemic in Japan, the currently circulating estimates were produced before the development and mainstreaming of panel data estimation methods.

In addition, the data estimation methods of indirect taxes differ from Japanese yearbooks.

However, owing to the differences of data estimation methods in various statistics yearbooks of Japan, the total expenditure does not match the total income in some sectors.

In the end, the challenges in the application of economic accounting data for SAM construction are the gaps of data estimation methods for editing statistical yearbooks, and the differential items between data listings in national and regional statistical yearbooks.

Standard financial valuation methods do not suit this purpose because subgroups may not reach agreement on issues concerning models, assumptions, data, estimation methods, and interpretation and, instead, use financial models to generate valuation numbers that suit their aims.

With regard to the discussion of missing data estimation methods, we targeted the application of previously-published imputation or estimation methods.

Furthermore, we used polychloric correlation matrices as input for CFA and Diagonally Weighted Least Squares (DWLS) and robust measures for non-normal distributed categorical data estimation methods [ 64, 65].