Traditionally, long-term aircraft maintenance scheduling is not only time-consuming but often ineffective. In this study, we develop a long-term aircraft maintenance scheduling model that can be used to perform this function for the aircraft preventive/predictive maintenance. The model is...

Traditionally, long-term aircraft maintenance scheduling is not only time-consuming but often ineffective. In this study, we develop a long-term aircraft maintenance scheduling model that can be used to perform this function for the aircraft preventive/predictive maintenance. The model is...

This study predicts the medical expenditure of national health insurance by a Back-Propagation Neural Network (BPN). Monte Carlo Simulation and Multiple Regression Analysis are used to compare the results of the BPN. Empirical results show the performance indicator modeled on BPN is the best,...

This study examines whether a high dividend yield is equivalent to a high return. For constructing a proposed portfolio, we use the panel data of listed companies’ dividends in six consecutive quarters, and other financial data to estimate expected current yields, which more conform to...

This study has two objectives: to examine the relationship between managerial sentiment and corporate investment and to examine the relationship between investment and firm value. We use a sample of Taiwanese firms and find that an optimal level of investment that maximizes a firm's value does...

The purpose of this article is to compare and evaluate statistical models for corner solution applications of censored regression. Generally, a double-hurdle model is better than one-part model. Cragg (1971) suggests a double-hurdle model, the truncated normal model, is widely used. However, the...