The classical GM (1, 1) model is an efficient tool to {make accurate forecasts} with limited
samples. But the accuracy of the GM (1, 1) model still needs to be improved. This paper …

Abstract The GM (1, n) model with convolution integral (GMC (1, n)) is a novel grey
multivariate prediction model, which appeals considerable interest in recent researches due …

Nonlinear grey system models, serving to time series forecasting, are extensively used in
diverse areas of science and engineering. However, most research concerns improving …

Accurate prediction of foreign tourist numbers is crucial for each country to devise
sustainable tourism development policies. Tourism time series data often have significant …

Coffee is the most traded commodity after petroleum. The Vietnamese coffee bean industry
has raised concerns lately over an inefficient coffee value chain; bets on coffee price …

In recent decades, the Nonlinear Grey Bernoulli Model “NGBM (1, 1)” has been applied in
various fields and achieved positive results. However, its prediction results may be …

Time‐dependent deformations of rock are important factors for the design and construction
of tunnels in the rock masses with time‐dependent strength and deformation properties …

Purpose With the development of economy, China's OFDI constantly increase in recent year.
Meanwhile, OFDI has spillover effect on economic development and technological …

Accurate tourist arrivals forecasting is essential for governments and the private sector to
formulate policies and allocate funds more effectively. In this paper, the modeling of tourist …

Predicting the number of foreign tourists is significant for governments in devising
development policies for tourism demand. Time series related to tourism often feature …